Triple
T11025024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pecos County |
E260595
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Upton County |
E386536
|
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: Upton County | Statement: [Pecos County, borders, Upton County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Upton County Context triple: [Pecos County, borders, Upton County]
-
A.
Upton County
chosen
Upton County is a sparsely populated, oil-producing county in western Texas known for its role in the Permian Basin energy region.
-
B.
Stephenson County
Stephenson County is a county in northern Illinois known for its agricultural landscape, small towns, and historic connection to figures like Jane Addams, who was born in Cedarville.
-
C.
Craig County
Craig County is a county in northeastern Oklahoma, United States, known for its rural communities and location within the region often referred to as Green Country.
-
D.
Grundy County
Grundy County is a rural county in central Iowa known for its agricultural landscape and small communities.
-
E.
Grundy County
Grundy County is a county in northeastern Illinois known for its mix of rural communities, agriculture, and growing exurban areas southwest of the Chicago metropolitan region.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797bf78a48190a37b423812827d4e |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cbe9da2081908641b229bc2e648d |
completed | April 19, 2026, 12:34 p.m. |
Created at: April 8, 2026, 9:25 p.m.