Triple
T17832813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard County, Texas |
E445303
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Big Spring, 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: Big Spring, Texas | Statement: [Howard County, Texas, hasCity, Big Spring, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Spring, Texas Context triple: [Howard County, Texas, hasCity, Big Spring, Texas]
-
A.
Big Spring, Texas
chosen
Big Spring, Texas is a small West Texas city and county seat of Howard County known historically as a regional oil, gas, and transportation hub.
-
B.
Big Sandy, Texas
Big Sandy, Texas is a small rural town in East Texas known for its close-knit community and location within Upshur County.
-
C.
Balch Springs
Balch Springs is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
-
D.
Crandall, Texas
Crandall, Texas is a small city in North Texas that serves as a residential community within the Dallas–Fort Worth metropolitan area.
-
E.
Sulphur Springs, Texas
Sulphur Springs, Texas is a small city in northeast Texas known as the seat of Hopkins County and recognized for its historic downtown and unique glass public restrooms on the town square.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d257414819088730f48ad7ab9ae |
completed | April 19, 2026, 8:07 a.m. |
Created at: April 10, 2026, 10:15 a.m.