Triple

T7732267
Position Surface form Disambiguated ID Type / Status
Subject Anna, Texas E175287 entity
Predicate abbreviation P43 FINISHED
Object Anna, TX E175287 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: Anna, TX | Statement: [Anna, Texas, abbreviation, Anna, TX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna, TX
Context triple: [Anna, Texas, abbreviation, Anna, TX]
  • A. Anna, Texas chosen
    Anna, Texas is a small but growing city in the northern part of the Dallas–Fort Worth metropolitan area known for its suburban, family-oriented community.
  • B. Annetta, Texas
    Annetta, Texas is a small residential town in North Texas that forms part of the Dallas–Fort Worth metropolitan area.
  • C. Annetta North, Texas
    Annetta North, Texas is a small residential town located in Parker County within the Dallas–Fort Worth metropolitan area.
  • D. Yantis, Texas
    Yantis, Texas is a small rural town in East Texas known for its proximity to Lake Fork Reservoir and its fishing and outdoor recreation opportunities.
  • E. Andrews, Texas
    Andrews, Texas is a small city in West Texas that serves as the county seat of Andrews County and is known for its oil and gas industry.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70336aafc819099a060950ab8922f completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b531a7f481908e4ff7f15b851070 completed March 29, 2026, 5:14 a.m.
Created at: March 27, 2026, 4:06 p.m.