Triple

T17446494
Position Surface form Disambiguated ID Type / Status
Subject Schertz E424798 entity
Predicate county P75 FINISHED
Object Bexar County NE NERFINISHED

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: Bexar County | Statement: [Schertz, county, Bexar County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bexar County
Context triple: [Schertz, county, Bexar County]
  • A. Bexar County chosen
    Bexar County is a county in south-central Texas that includes the city of San Antonio and serves as a major cultural, historical, and economic hub of the region.
  • 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. Ector County
    Ector County is a county in western Texas best known for encompassing the city of Odessa and its significant role in the Permian Basin oil industry.
  • D. Comal County
    Comal County is a county in south-central Texas known for its scenic Hill Country landscapes, rivers, and rapidly growing communities such as New Braunfels.
  • 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 (2 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ffc89e4819096372cc55b40cc3b completed April 19, 2026, 3:46 a.m.
Created at: April 10, 2026, 5:47 a.m.