Triple
T8295072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterbury, Vermont |
E194194
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object |
Downtown Waterbury Historic District
Downtown Waterbury Historic District is a preserved central area of Waterbury, Vermont, known for its historic architecture, walkable streets, and concentration of local shops and civic buildings reflecting the town’s 19th- and early 20th-century development.
|
E723600
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Downtown Waterbury Historic District | Statement: [Waterbury, Vermont, hasAttraction, Downtown Waterbury Historic District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Downtown Waterbury Historic District Context triple: [Waterbury, Vermont, hasAttraction, Downtown Waterbury Historic District]
-
A.
Downtown Waterbury Historic District
Downtown Waterbury Historic District is a designated historic area in Waterbury, Connecticut, known for its concentration of architecturally significant commercial and civic buildings that reflect the city’s industrial-era growth.
-
B.
Meriden Downtown Historic District
Meriden Downtown Historic District is a designated historic area in the central business district of Meriden, Connecticut, recognized for its concentration of architecturally and historically significant commercial and civic buildings.
-
C.
Downtown Bridgeport Historic District
Downtown Bridgeport Historic District is a central urban area in Bridgeport, Connecticut, known for its concentration of historic commercial buildings and architectural landmarks reflecting the city’s industrial and economic growth.
-
D.
Brattleboro Downtown Historic District
The Brattleboro Downtown Historic District is a central area of Brattleboro, Vermont, noted for its well-preserved 19th- and early 20th-century commercial architecture and its role as the town’s historic commercial and cultural core.
-
E.
Downtown Burlington Historic District
Downtown Burlington Historic District is a preserved central business area in Burlington, Iowa, known for its 19th- and early 20th-century architecture, riverfront setting, and role in the city’s commercial and cultural history.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Downtown Waterbury Historic District Triple: [Waterbury, Vermont, hasAttraction, Downtown Waterbury Historic District]
Generated description
Downtown Waterbury Historic District is a preserved central area of Waterbury, Vermont, known for its historic architecture, walkable streets, and concentration of local shops and civic buildings reflecting the town’s 19th- and early 20th-century development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Downtown Waterbury Historic District Target entity description: Downtown Waterbury Historic District is a preserved central area of Waterbury, Vermont, known for its historic architecture, walkable streets, and concentration of local shops and civic buildings reflecting the town’s 19th- and early 20th-century development.
-
A.
Downtown Waterbury Historic District
Downtown Waterbury Historic District is a designated historic area in Waterbury, Connecticut, known for its concentration of architecturally significant commercial and civic buildings that reflect the city’s industrial-era growth.
-
B.
Meriden Downtown Historic District
Meriden Downtown Historic District is a designated historic area in the central business district of Meriden, Connecticut, recognized for its concentration of architecturally and historically significant commercial and civic buildings.
-
C.
Downtown Bridgeport Historic District
Downtown Bridgeport Historic District is a central urban area in Bridgeport, Connecticut, known for its concentration of historic commercial buildings and architectural landmarks reflecting the city’s industrial and economic growth.
-
D.
Brattleboro Downtown Historic District
The Brattleboro Downtown Historic District is a central area of Brattleboro, Vermont, noted for its well-preserved 19th- and early 20th-century commercial architecture and its role as the town’s historic commercial and cultural core.
-
E.
Downtown Burlington Historic District
Downtown Burlington Historic District is a preserved central business area in Burlington, Iowa, known for its 19th- and early 20th-century architecture, riverfront setting, and role in the city’s commercial and cultural history.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7df5fff88190ac51a8d1c3eb2fe2 |
completed | March 31, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68a3258481908fe04fed1d00c9ba |
completed | April 1, 2026, 6:49 p.m. |
| NEDg | Description generation | batch_69cd6d567c3c81908a7ec5bc13be529d |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7e3e2f848190a22ad8739bb8e298 |
completed | April 1, 2026, 8:21 p.m. |
Created at: March 30, 2026, 5:52 p.m.