Triple

T8092269
Position Surface form Disambiguated ID Type / Status
Subject Corsicana E188894 entity
Predicate county P75 FINISHED
Object Navarro County E118620 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: Navarro County | Statement: [Corsicana, county, Navarro County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Navarro County
Context triple: [Corsicana, county, Navarro County]
  • A. Navarro County, Texas chosen
    Navarro County, Texas is a county in north-central Texas known for its seat in Corsicana and its location along major transportation routes between Dallas and Houston.
  • B. Hidalgo County
    Hidalgo County is a populous county in South Texas along the U.S.–Mexico border, known for its rapidly growing communities and role in the Rio Grande Valley region.
  • C. Atascosa County
    Atascosa County is a largely rural county in southern Texas known for its agricultural economy and proximity to the San Antonio metropolitan area.
  • D. Guadalupe County
    Guadalupe County is a rural county in eastern New Mexico known for its historic Route 66 towns, ranching landscapes, and Southwestern desert scenery.
  • E. Guadalupe County
    Guadalupe County is a county in south-central Texas that includes rapidly growing suburban and rural communities east of San Antonio.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42217a1881909792b08a2f06fb75 completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d189c795d48190ba80739d07bc899c completed April 4, 2026, 9:59 p.m.
Created at: March 30, 2026, 5:30 p.m.