Triple
T18068827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange County, Texas |
E432365
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Vidor, 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: Vidor, Texas | Statement: [Orange County, Texas, hasCity, Vidor, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vidor, Texas Context triple: [Orange County, Texas, hasCity, Vidor, Texas]
-
A.
Vidor, Texas
chosen
Vidor, Texas is a small city in southeastern Texas known as a bedroom community of nearby Beaumont and part of the Beaumont–Port Arthur metropolitan area.
-
B.
Vinton, Texas
Vinton, Texas is a small village in far West Texas that functions as a suburban community within the El Paso metropolitan area.
-
C.
Gorman, Texas
Gorman, Texas is a small rural city located in Eastland County in central Texas, known for its agricultural community and small-town character.
-
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.
Tye, Texas
Tye, Texas is a small city in West Texas located near Abilene, known primarily as a rural community along major transportation routes.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ccebff748190b41d2edd93994c67 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.