Triple

T10055100
Position Surface form Disambiguated ID Type / Status
Subject Western Oklahoma E208839 entity
Predicate hasCounty P285 FINISHED
Object Texas County E346854 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: Texas County | Statement: [Western Oklahoma, hasCounty, Texas County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Texas County
Context triple: [Western Oklahoma, hasCounty, Texas County]
  • A. Texas County chosen
    Texas County is a sparsely populated county in the Oklahoma Panhandle known for its agricultural economy and wide-open High Plains landscape.
  • B. Wood County, Texas
    Wood County, Texas is a rural county in northeastern Texas known for its small towns, lakes, and inclusion in the greater East Texas region.
  • C. Hardin County, Texas
    Hardin County, Texas is a largely rural county in Southeast Texas known for its pine forests, part of the Beaumont–Port Arthur metropolitan area.
  • D. Jefferson County, Texas
    Jefferson County, Texas is a coastal county in Southeast Texas that includes the city of Beaumont and is a major center for petrochemical refining and port activity along the Gulf Coast.
  • E. Kent County, Texas
    Kent County, Texas is a sparsely populated rural county in West Texas known for its ranching economy and wide-open plains.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfacacd08190abe66f8bb17b92c7 completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b61869208190ab67a28e2aa8f8ec completed April 5, 2026, 7:20 p.m.
Created at: March 30, 2026, 8:57 p.m.