Triple
T19962889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amawalk Cemetery |
E479858
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Amawalk, 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: Amawalk, New York | Statement: [Amawalk Cemetery, locatedIn, Amawalk, New York]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amawalk, New York Context triple: [Amawalk Cemetery, locatedIn, Amawalk, New York]
-
A.
Amawalk, New York
chosen
Amawalk, New York is a small hamlet in the town of Somers in Westchester County, known in part as the burial place of famed war photographer Robert Capa.
-
B.
Wawayanda, New York
Wawayanda, New York is a rural town in Orange County known for its agricultural character and proximity to the city of Middletown.
-
C.
Elma, New York
Elma, New York is a suburban town in Erie County, near Buffalo, known for its residential communities and semi-rural character.
-
D.
Matteawan, New York
Matteawan, New York was a former village in Dutchess County that later became part of the city of Beacon.
-
E.
Weemawee, New York
Weemawee, New York is the fictional suburban town that serves as the primary setting for the 1980s American television sitcom "Square Pegs."
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af619108190825cbcfb6b8e1fa5 |
completed | April 20, 2026, 4:57 p.m. |
Created at: April 10, 2026, 1:54 p.m.