Triple

T7270093
Position Surface form Disambiguated ID Type / Status
Subject Melissa, Texas E161077 entity
Predicate locatedNear P294 FINISHED
Object Anna, Texas 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, Texas | Statement: [Melissa, Texas, locatedNear, Anna, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna, Texas
Context triple: [Melissa, Texas, locatedNear, Anna, Texas]
  • 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. 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.
  • D. Alexander, Texas
    Alexander, Texas is a small unincorporated rural community located in Erath County in north-central Texas.
  • E. Anthony, Texas
    Anthony, Texas is a small town in the El Paso metropolitan area near the New Mexico border, known as the "Leap Year Capital of the World" for its quadrennial leap year festival.
  • 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_69c6885181008190b419040e22939c7c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eae9f8bc8190a8c31cc29926919c completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81eb53060819081312e8b2805e9db completed March 28, 2026, 6:32 p.m.
Created at: March 27, 2026, 2:58 p.m.