Triple
T10861009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vergennes, Vermont |
E256401
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
City Park
City Park is a central public green space and community gathering area located in Vergennes, Vermont.
|
E891249
|
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: City Park | Statement: [Vergennes, Vermont, hasLandmark, City Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City Park Context triple: [Vergennes, Vermont, hasLandmark, City Park]
-
A.
City Park
City Park was the original name of Balboa Park, a large historic urban cultural park in San Diego, California.
-
B.
City Park
City Park is a popular historic public park in Fort Collins, Colorado, known for its large lake, open green spaces, and community recreation areas.
-
C.
City Park
City Park is a public recreational park located in the city of Benicia, California.
-
D.
City Park
City Park is a large historic urban park in Denver known for its lakes, recreation areas, and proximity to major cultural institutions like the Denver Zoo and Denver Museum of Nature & Science.
-
E.
City Park
City Park is a public recreational park located in Salisbury, North Carolina, offering outdoor green space and amenities for community activities and leisure.
- 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: City Park Triple: [Vergennes, Vermont, hasLandmark, City Park]
Generated description
City Park is a central public green space and community gathering area located in Vergennes, Vermont.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: City Park Target entity description: City Park is a central public green space and community gathering area located in Vergennes, Vermont.
-
A.
City Park
City Park is a public recreational park in Burlington, North Carolina, known for its family-friendly amenities and outdoor activities.
-
B.
City Park
City Park is a public recreational park located in Salisbury, North Carolina, offering outdoor green space and amenities for community activities and leisure.
-
C.
City Park
City Park is a popular historic public park in Fort Collins, Colorado, known for its large lake, open green spaces, and community recreation areas.
-
D.
City Park
City Park is a historic public park in Launceston, Tasmania, known for its landscaped gardens, conservatory, and family-friendly recreational spaces.
-
E.
City Park
City Park is a large historic urban park in Denver known for its lakes, recreation areas, and proximity to major cultural institutions like the Denver Zoo and Denver Museum of Nature & Science.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7515186f08190a5cc388a7d936c4f |
completed | April 9, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7d350748190821a4413c1eb7106 |
completed | April 15, 2026, 8:40 p.m. |
| NEDg | Description generation | batch_69e0b498df2481908c964d53b1782774 |
completed | April 16, 2026, 10:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e11e21fc2c8190878a877ecd3b465e |
completed | April 16, 2026, 5:36 p.m. |
Created at: April 8, 2026, 9:20 p.m.