Triple
T13604477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glen Park Falls |
E325025
|
entity |
| Predicate | village |
P4011
|
FINISHED |
| Object | Williamsville |
E440492
|
NE FINISHED |
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: Williamsville | Statement: [Glen Park Falls, village, Williamsville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Williamsville Context triple: [Glen Park Falls, village, Williamsville]
-
A.
Williamsville
chosen
Williamsville is a small village within the town of West Stockbridge in Berkshire County, western Massachusetts.
-
B.
Williamsville, New York
Williamsville, New York is a suburban village in Erie County that serves as a commercial and residential hub within the Buffalo–Niagara Falls metropolitan area.
-
C.
Cheektowaga, New York
Cheektowaga, New York is a large suburban town in Erie County near Buffalo, best known as a residential and commercial hub that includes Buffalo Niagara International Airport.
-
D.
Pittsford
Pittsford is a small town in Rutland County, Vermont, known for its rural New England character and historic charm.
-
E.
Irondequoit, New York
Irondequoit, New York is a suburban town located along the southern shore of Lake Ontario just northeast of Rochester in Monroe County.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ca07481909c45da551ea61ab4 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0d96bc4819083f8b26dfdb3590f |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 9:50 p.m.