Triple
T20421881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ovid, New York |
E500872
|
entity |
| Predicate | isOneOfMultipleCountySeatsOf |
P140077
|
FINISHED |
| Object | Seneca County |
—
|
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: Seneca County | Statement: [Ovid, New York, isOneOfMultipleCountySeatsOf, Seneca County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfMultipleCountySeatsOf Context triple: [Ovid, New York, isOneOfMultipleCountySeatsOf, Seneca County]
-
A.
hasTwoCountySeats
Indicates that an administrative region or county possesses exactly two official county seats (administrative centers).
-
B.
hasCountySeatRelation
Indicates that a specific place serves as the county seat (administrative center) of a particular county.
-
C.
hasCountySeatOf
Indicates that a place serves as the administrative county seat (capital) of a specified county.
-
D.
isInCountySeatOf
Indicates that one entity is located within the town or city that serves as the administrative center (county seat) of a specified county.
-
E.
hasCountySeatCounty
Indicates that a county seat is administratively associated with and serves as the seat of government for a specific county.
- 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67ba52b7c8190bb358dbee994f580 |
completed | April 20, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69e5766df0008190a73c4f613c29678f |
completed | April 20, 2026, 12:42 a.m. |
| PDg | Predicate description generation | batch_69e58d766b408190a1d3698145fb6d30 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:30 a.m.