Triple
T16414322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auburn, Massachusetts |
E398642
|
entity |
| Predicate | namedFor |
P63
|
FINISHED |
| Object | Auburn, 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: Auburn, New York | Statement: [Auburn, Massachusetts, namedFor, Auburn, New York]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auburn, New York Context triple: [Auburn, Massachusetts, namedFor, Auburn, New York]
-
A.
Auburn, New York
chosen
Auburn, New York is a small city in central New York State historically known as a 19th-century publishing center and the site of Auburn Prison.
-
B.
Augusta, New York
Augusta, New York is a small rural town in Oneida County in central New York State, United States.
-
C.
Canastota, New York
Canastota, New York is a small village in Madison County best known as the home of the International Boxing Hall of Fame.
-
D.
Cambria, New York
Cambria, New York is a rural town in Niagara County known for its agricultural landscape and small-community character in western New York State.
-
E.
Shelby, New York
Shelby, New York is a small rural town located in Orleans County in western New York State.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3287683f48190975a016e6333882c |
completed | April 18, 2026, 6:45 a.m. |
Created at: April 10, 2026, 5:09 a.m.