Triple
T35691659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamestown Falcons |
E1031307
|
entity |
| Predicate | cityIsInCounty |
P183828
|
FINISHED |
| Object | Chautauqua County, 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: Chautauqua County, New York | Statement: [Jamestown Falcons, cityIsInCounty, Chautauqua County, New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityIsInCounty Context triple: [Jamestown Falcons, cityIsInCounty, Chautauqua County, New York]
-
A.
isInCountySeatOf
Indicates that one entity is located within the town or city that serves as the administrative center (county seat) of a specified county.
-
B.
isInCountySeatCounty
Indicates that a given place is located within the county that serves as the county seat for a specified jurisdiction.
-
C.
isInCountySeatCity
Indicates that a given location or entity is situated within the city that serves as the county seat (administrative center) of a county.
-
D.
isInCountySeat
Indicates that one entity (typically a place or facility) is located within the county seat of a given county.
-
E.
isNamedCountyOf
Indicates that a county bears a specific official name within a given jurisdiction or context.
- F. None of above. chosen
Provenance (4 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a34e80dc8190980d5b7b0b91341d |
completed | May 3, 2026, 7:34 p.m. |
Created at: May 3, 2026, 4:05 p.m.