Triple

T1897436
Position Surface form Disambiguated ID Type / Status
Subject Davidson County E37613 entity
Predicate borders P224 FINISHED
Object Williamson County E102681 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: Williamson County | Statement: [Davidson County, borders, Williamson County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Williamson County
Context triple: [Davidson County, borders, Williamson County]
  • A. Williamson County chosen
    Williamson County is a rapidly growing suburban county in Central Texas, located just north of Austin and known for its residential communities and tech-driven economy.
  • B. Dallas County
    Dallas County is a county in the U.S. state of Alabama, best known as the location of Selma and its pivotal role in the American civil rights movement.
  • C. Harris County
    Harris County is a populous county in southeastern Texas that includes the city of Houston and serves as a major economic and cultural hub of the region.
  • D. Harris County
    Harris County is a county in west-central Georgia, United States, known for its rural communities, natural landscapes, and proximity to the city of Columbus.
  • E. Gillespie County
    Gillespie County is a central Texas county known for its scenic Hill Country landscapes, German heritage, and the historic town of Fredericksburg.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb16f416c8190a49b24523b3a7f85 completed March 7, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69b37371fbc08190abc2d3a1dd2f4e9a completed March 13, 2026, 2:16 a.m.
Created at: March 4, 2026, 7:35 p.m.