Triple
T2843875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Haven County |
E62535
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Hamden
Hamden is a suburban town in south-central Connecticut, known for its proximity to New Haven and as the home of Quinnipiac University.
|
E598684
|
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: Hamden | Statement: [New Haven County, containsTown, Hamden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamden Context triple: [New Haven County, containsTown, Hamden]
-
A.
West Haven
West Haven is a coastal city in southern Connecticut known for its public beaches and shoreline along Long Island Sound.
-
B.
East Haven
East Haven is a coastal town in southern Connecticut, located just east of the city of New Haven along Long Island Sound.
-
C.
Stamford
Stamford is a historic market town in eastern England renowned for its well-preserved medieval and Georgian architecture.
-
D.
Naugatuck
Naugatuck is a borough and town in Connecticut known for its industrial history and location along the Naugatuck River.
-
E.
Meriden
Meriden is a city in central Connecticut known for its historic silver manufacturing industry and landmarks like Castle Craig in Hubbard Park.
- 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: Hamden Triple: [New Haven County, containsTown, Hamden]
Generated description
Hamden is a suburban town in south-central Connecticut, known for its proximity to New Haven and as the home of Quinnipiac University.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hamden Target entity description: Hamden is a suburban town in south-central Connecticut, known for its proximity to New Haven and as the home of Quinnipiac University.
-
A.
West Haven
West Haven is a coastal city in southern Connecticut known for its public beaches and shoreline along Long Island Sound.
-
B.
East Haven
East Haven is a coastal town in southern Connecticut, located just east of the city of New Haven along Long Island Sound.
-
C.
Stamford
Stamford is a historic market town in eastern England renowned for its well-preserved medieval and Georgian architecture.
-
D.
Naugatuck
Naugatuck is a borough and town in Connecticut known for its industrial history and location along the Naugatuck River.
-
E.
Meriden
Meriden is a city in central Connecticut known for its historic silver manufacturing industry and landmarks like Castle Craig in Hubbard Park.
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf1a07508190be35fe85733ddeed |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6855bd42c8190a9fbebd5176d63fd |
completed | March 27, 2026, 1:25 p.m. |
| NEDg | Description generation | batch_69c6994dafac819097586bd23aee35c4 |
completed | March 27, 2026, 2:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ac08698c8190b8a0a9625492353b |
completed | March 27, 2026, 4:10 p.m. |
Created at: March 6, 2026, 10:02 p.m.