Triple
T17163087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freestone County, Texas |
E416530
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Fairfield, Texas |
—
|
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: Fairfield, Texas | Statement: [Freestone County, Texas, hasCity, Fairfield, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fairfield, Texas Context triple: [Freestone County, Texas, hasCity, Fairfield, Texas]
-
A.
Fairfield, Texas
chosen
Fairfield, Texas is a small city in East-Central Texas known as a regional hub for outdoor recreation, ranching, and local government services.
-
B.
Fairview, Texas
Fairview, Texas is a small suburban town in the Dallas–Fort Worth metropolitan area known for its residential communities and proximity to major shopping and business centers.
-
C.
Colfax, Texas
Colfax, Texas is a small unincorporated rural community located in Van Zandt County in East Texas.
-
D.
Weatherford, Texas
Weatherford, Texas is a historic North Texas city in the Dallas–Fort Worth metropolitan area known for its Western heritage, peach industry, and small-town charm.
-
E.
Ferris, Texas
Ferris, Texas is a small city in the Dallas–Fort Worth metropolitan area known historically for its brick manufacturing industry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f91316108190b0d856d6fa5cd509 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 5:37 a.m.