Triple
T12706366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seymour, Connecticut |
E303597
|
entity |
| Predicate | hasHistoricDistrict |
P295
|
FINISHED |
| Object |
downtown Seymour historic area
The downtown Seymour historic area is a preserved district in Seymour, Connecticut, known for its 19th- and early 20th-century architecture and its role in the town’s commercial and industrial development.
|
E997855
|
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 Seymour historic area | Statement: [Seymour, Connecticut, hasHistoricDistrict, downtown Seymour historic area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: downtown Seymour historic area Context triple: [Seymour, Connecticut, hasHistoricDistrict, downtown Seymour historic area]
-
A.
Crowley Historic District
The Crowley Historic District is a preserved area in Crowley, Louisiana, known for its late 19th- and early 20th-century architecture that reflects the town’s development as a regional rice-farming and railroad center.
-
B.
Monroe Downtown Historic District
The Monroe Downtown Historic District is a preserved central business area in Monroe, North Carolina, known for its concentration of late 19th- and early 20th-century commercial and civic architecture.
-
C.
Monroe Downtown Historic District
The Monroe Downtown Historic District is a central commercial and civic area in Monroe, Michigan, noted for its preserved historic architecture and its location near the River Raisin.
-
D.
Valparaiso Downtown Commercial District
The Valparaiso Downtown Commercial District is a historic core of Valparaiso, Indiana, featuring a concentration of late-19th- and early-20th-century commercial architecture that reflects the city’s development as a regional trade and civic center.
-
E.
Saco Historic District
Saco Historic District is a nationally recognized historic area in Saco, Maine, known for its well-preserved 19th-century commercial and residential architecture reflecting the city's industrial and maritime heritage.
- 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 Seymour historic area Triple: [Seymour, Connecticut, hasHistoricDistrict, downtown Seymour historic area]
Generated description
The downtown Seymour historic area is a preserved district in Seymour, Connecticut, known for its 19th- and early 20th-century architecture and its role in the town’s commercial and industrial development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: downtown Seymour historic area Target entity description: The downtown Seymour historic area is a preserved district in Seymour, Connecticut, known for its 19th- and early 20th-century architecture and its role in the town’s commercial and industrial development.
-
A.
Crowley Historic District
The Crowley Historic District is a preserved area in Crowley, Louisiana, known for its late 19th- and early 20th-century architecture that reflects the town’s development as a regional rice-farming and railroad center.
-
B.
Monroe Downtown Historic District
The Monroe Downtown Historic District is a preserved central business area in Monroe, North Carolina, known for its concentration of late 19th- and early 20th-century commercial and civic architecture.
-
C.
Monroe Downtown Historic District
The Monroe Downtown Historic District is a central commercial and civic area in Monroe, Michigan, noted for its preserved historic architecture and its location near the River Raisin.
-
D.
Valparaiso Downtown Commercial District
The Valparaiso Downtown Commercial District is a historic core of Valparaiso, Indiana, featuring a concentration of late-19th- and early-20th-century commercial architecture that reflects the city’s development as a regional trade and civic center.
-
E.
Saco Historic District
Saco Historic District is a nationally recognized historic area in Saco, Maine, known for its well-preserved 19th-century commercial and residential architecture reflecting the city's industrial and maritime heritage.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620663e881908d367170ed6d2c81 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671b4832c8190abc17f5f33b3552a |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f67286f1b8819081db3da2f5c16daf |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6732ea7408190a95f0a5f983dfdb7 |
completed | May 2, 2026, 9:57 p.m. |
Created at: April 9, 2026, 5:23 p.m.