Triple
T20766667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cayuga County, New York |
E511114
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Aurora, 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: Aurora, New York | Statement: [Cayuga County, New York, hasVillage, Aurora, New York]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aurora, New York Context triple: [Cayuga County, New York, hasVillage, Aurora, New York]
-
A.
Aurora, New York
chosen
Aurora, New York is a small historic village in the Finger Lakes region known for its scenic lakeside setting and as the home of Wells College.
-
B.
Aurelius, New York
Aurelius, New York is a small town in Cayuga County in the Finger Lakes region of central New York State.
-
C.
Clinton, New York
Clinton, New York is a small village in Oneida County known for its historic charm and as the home of Hamilton College.
-
D.
Rochester, New York
Rochester, New York is a major city in western New York State known for its industrial history, universities, and cultural institutions along the Genesee River.
-
E.
Oswego, New York
Oswego, New York is a small port city on the southeastern shore of Lake Ontario known for its maritime history and heavy lake-effect snowfall.
- 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c24ceab8819094e331c57abe6879 |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:36 p.m.