Triple

T18621594
Position Surface form Disambiguated ID Type / Status
Subject Coryell County E455163 entity
Predicate hasCity P316 FINISHED
Object Gatesville, Texas 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: Gatesville, Texas | Statement: [Coryell County, hasCity, Gatesville, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gatesville, Texas
Context triple: [Coryell County, hasCity, Gatesville, Texas]
  • A. Gatesville, Texas chosen
    Gatesville, Texas is a small central Texas city known for its role as a regional hub and for hosting several state prison facilities.
  • B. Gatesville
    Gatesville is a suburb of Athlone in Cape Town, South Africa, known as a busy commercial and transport hub with a strong Muslim community presence.
  • C. Gainesville, Texas
    Gainesville, Texas is a small North Texas city near the Oklahoma border known as the county seat of Cooke County and a regional hub within the Texoma area.
  • D. Gonzales, Texas
    Gonzales, Texas is a historic town best known as the site of the first battle of the Texas Revolution and the origin of the famous "Come and Take It" slogan.
  • E. Navasota, Texas
    Navasota, Texas is a small city in Grimes County that serves as a historic railroad and commercial hub within the Greater Houston 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f0146f48190a872032db6e660c6 completed April 19, 2026, 9:54 p.m.
Created at: April 10, 2026, 11:46 a.m.