Triple
T15940183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upton County |
E386536
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | McCamey, 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: McCamey, Texas | Statement: [Upton County, hasSettlement, McCamey, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McCamey, Texas Context triple: [Upton County, hasSettlement, McCamey, Texas]
-
A.
McCamey, Texas
chosen
McCamey, Texas is a small West Texas city known historically as an oil boomtown and the primary population center of Upton County.
-
B.
Mesquite, Texas
Mesquite, Texas is a suburban city in the eastern part of the Dallas–Fort Worth area known for its strong retail centers, rodeo heritage, and family-oriented residential communities.
-
C.
Campbell, Texas
Campbell, Texas is a small rural city in northeastern Texas known for its close-knit community and agricultural surroundings.
-
D.
Millican, Texas
Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
-
E.
Tehuacana, Texas
Tehuacana, Texas is a small rural town in Limestone County known for its historic roots and quiet, close-knit community.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156cd3a188190a1a7dcbfdd38284c |
completed | April 16, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:53 a.m.