Triple
T26900309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Dallas |
E678007
|
entity |
| Predicate | currentCountySeat |
P383
|
FINISHED |
| Object | Gastonia, North Carolina |
—
|
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: Gastonia, North Carolina | Statement: [Town of Dallas, currentCountySeat, Gastonia, North Carolina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentCountySeat Context triple: [Town of Dallas, currentCountySeat, Gastonia, North Carolina]
-
A.
otherCountySeat
Indicates that one entity serves as the county seat of a different county than the one associated with the other entity.
-
B.
hasCountySeatOf
Indicates that a place serves as the administrative county seat (capital) of a specified county.
-
C.
nearestCountySeat
Indicates that one location is the closest county seat geographically to another location.
-
D.
countySeat
chosen
Indicates that one place serves as the administrative center or capital of a county.
-
E.
hasCountySeatOn
Indicates that a county’s administrative center (county seat) is located on or adjacent to a specified geographic feature or infrastructure.
- 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 27, 2026, 5:50 a.m.