Triple
T21280159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard County, Texas |
E524498
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Coahoma, 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: Coahoma, Texas | Statement: [Howard County, Texas, contains, Coahoma, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coahoma, Texas Context triple: [Howard County, Texas, contains, Coahoma, Texas]
-
A.
Coahoma, Texas
chosen
Coahoma, Texas is a small town in West Texas known for its rural community character and location near the city of Big Spring.
-
B.
Caddo, Texas
Caddo, Texas is an unincorporated rural community located in Stephens County in north-central Texas.
-
C.
East Tawakoni, Texas
East Tawakoni, Texas is a small lakeside city in northeastern Texas situated on the shores of Lake Tawakoni.
-
D.
Lampasas, Texas
Lampasas, Texas is a small central Texas city known for its historic downtown, mineral springs, and role as a regional hub along major north–south travel routes.
-
E.
Lockney, Texas
Lockney, Texas is a small rural town in the Texas Panhandle known for its agricultural economy and 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73659b56c8190af283348378b1cff |
completed | April 21, 2026, 8:33 a.m. |
Created at: April 16, 2026, 4:02 p.m.