Triple
T7954726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamden, Connecticut |
E184702
|
entity |
| Predicate | hasNeighborhood |
P40
|
FINISHED |
| Object |
Whitneyville
Whitneyville is a residential neighborhood in the town of Hamden, Connecticut, known for its historic character and proximity to New Haven.
|
E702330
|
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: Whitneyville | Statement: [Hamden, Connecticut, hasNeighborhood, Whitneyville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitneyville Context triple: [Hamden, Connecticut, hasNeighborhood, Whitneyville]
-
A.
Whitesville
Whitesville is a small town located in Raleigh County in the southern part of West Virginia, United States.
-
B.
Shingletown
Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
-
C.
Blissville
Blissville is a small, historically industrial neighborhood in western Queens, New York City, known for its proximity to major rail yards and cemeteries.
-
D.
Snowville
Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
-
E.
Hattieville
Hattieville is a village in Belize known for housing the country’s main prison and serving as a residential community near Belize City.
- 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: Whitneyville Triple: [Hamden, Connecticut, hasNeighborhood, Whitneyville]
Generated description
Whitneyville is a residential neighborhood in the town of Hamden, Connecticut, known for its historic character and proximity to New Haven.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Whitneyville Target entity description: Whitneyville is a residential neighborhood in the town of Hamden, Connecticut, known for its historic character and proximity to New Haven.
-
A.
Whitesville
Whitesville is a small town located in Raleigh County in the southern part of West Virginia, United States.
-
B.
Shingletown
Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
-
C.
Blissville
Blissville is a small, historically industrial neighborhood in western Queens, New York City, known for its proximity to major rail yards and cemeteries.
-
D.
Snowville
Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
-
E.
Hattieville
Hattieville is a village in Belize known for housing the country’s main prison and serving as a residential community near Belize City.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b5f74308190aa63a22c3d5feacc |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe05d89a08190ae5bd4092d007442 |
completed | March 31, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_69cbe43a45b48190b2bdc793f2bd3264 |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc11c673d88190b2796fb6efac6b09 |
completed | March 31, 2026, 6:26 p.m. |
Created at: March 30, 2026, 5:11 p.m.