Triple
T15940180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upton County |
E386536
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Crockett County |
E902383
|
NE FINISHED |
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: Crockett County | Statement: [Upton County, borderedBy, Crockett County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crockett County Context triple: [Upton County, borderedBy, Crockett County]
-
A.
Crockett County
chosen
Crockett County is a sparsely populated county in western Texas known for its ranching lands and the town of Ozona, its county seat.
-
B.
Reagan County
Reagan County is a sparsely populated county in West Texas known for its oil and gas production and its county seat, Big Lake.
-
C.
Callaway County
Callaway County is a county in central Missouri known for its seat in Fulton and its mix of small-town communities, agriculture, and historical sites.
-
D.
Teller County
Teller County is a mountainous county in central Colorado known for its historic gold mining communities, including the city of Cripple Creek.
-
E.
Moody County
Moody County is a rural county in eastern South Dakota known for its agricultural landscape and the city of Flandreau as its county seat.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a502c82881908d5b6f7c23e8a403 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 4:53 a.m.