Triple
T23230021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirkland College |
E581123
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Clinton, New York |
—
|
NE NERFINISHED |
How this triple was built (2 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: Clinton, New York | Statement: [Kirkland College, locatedIn, Clinton, New York]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clinton, New York Context triple: [Kirkland College, locatedIn, Clinton, New York]
-
A.
Clinton, New York
chosen
Clinton, New York is a small village in Oneida County known for its historic charm and as the home of Hamilton College.
-
B.
Wilson, New York
Wilson, New York is a small town in Niagara County known for its location along Lake Ontario and its rural, lakeside character.
-
C.
Jackson, New York
Jackson, New York is a small rural town in Washington County known for its agricultural landscape and historic countryside in eastern upstate New York.
-
D.
Roosevelt, New York
Roosevelt, New York is a predominantly residential hamlet and census-designated place in Nassau County on Long Island, known for its diverse community and suburban character.
-
E.
Hamilton, New York
Hamilton, New York is a small village in Madison County best known as the home of Colgate University.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f1923131c081909c6e84b1a0c32e0d |
completed | April 29, 2026, 5:08 a.m. |
Created at: April 17, 2026, 4:09 p.m.