Triple
T2719556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Walton |
E60048
|
entity |
| Predicate | countySeatRegionRelation |
P41840
|
FINISHED |
| Object | north of DeFuniak Springs in Walton County context |
—
|
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: north of DeFuniak Springs in Walton County context | Statement: [North Walton, countySeatRegionRelation, north of DeFuniak Springs in Walton County context]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countySeatRegionRelation Context triple: [North Walton, countySeatRegionRelation, north of DeFuniak Springs in Walton County context]
-
A.
hasCountySeatOf
Indicates that a place serves as the administrative county seat (capital) of a specified county.
-
B.
countySeatFunction
Indicates that one place serves as the administrative center or seat of government for a county.
-
C.
countySeat
Indicates that one place serves as the administrative center or capital of a county.
-
D.
hasCountySeatWithRole
Indicates that a county has a designated county seat that fulfills a specific administrative or governmental role.
-
E.
stateCapitalRegion
Indicates that a region serves as the capital area or administrative seat for a particular state.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaaee104819085966bc54d5da9c0 |
completed | March 7, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69abd8240920819087a812d816a55edb |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd949c120819099a9d56eb71a0339 |
completed | March 7, 2026, 7:52 a.m. |
Created at: March 6, 2026, 9:55 p.m.