Triple
T12972051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deal, New Jersey |
E321421
|
entity |
| Predicate | locatedInCountySeat |
P40853
|
FINISHED |
| Object | not a county seat |
—
|
LITERAL 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: not a county seat | Statement: [Deal, New Jersey, locatedInCountySeat, not a county seat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInCountySeat Context triple: [Deal, New Jersey, locatedInCountySeat, not a county seat]
-
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.
isInCountySeat
chosen
Indicates that one entity (typically a place or facility) is located within the county seat of a given county.
-
C.
hasCountySeatWithin
Indicates that the designated county’s official administrative center (county seat) is located within the specified geographic area or boundary.
-
D.
containsCountySeat
Indicates that one administrative region or area includes within its boundaries the designated county seat location of a county.
-
E.
isInCountySeatCity
Indicates that a given location or entity is situated within the city that serves as the county seat (administrative center) of a county.
- F. None of above.
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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:36 p.m.