Triple

T6026146
Position Surface form Disambiguated ID Type / Status
Subject Nacogdoches, Texas E134186 entity
Predicate county P75 FINISHED
Object Nacogdoches County E317967 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: Nacogdoches County | Statement: [Nacogdoches, Texas, county, Nacogdoches County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nacogdoches County
Context triple: [Nacogdoches, Texas, county, Nacogdoches County]
  • A. Nacogdoches County, Texas chosen
    Nacogdoches County, Texas is a county in eastern Texas known for its historic city of Nacogdoches, often cited as the oldest town in the state.
  • B. Cameron County
    Cameron County is a sparsely populated, heavily forested rural county in north-central Pennsylvania known for its outdoor recreation and wildlife.
  • C. San Jacinto County
    San Jacinto County is a largely rural county in East Texas known for its forests, lakes, and small communities within the Greater Houston region.
  • D. 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.
  • E. 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.
  • 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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fc08c5c819085afab5b18bce4d1 completed March 22, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c750fd986c819099dcf429008e8cdf completed March 28, 2026, 3:54 a.m.
Created at: March 22, 2026, 4:07 p.m.