Triple

T15464595
Position Surface form Disambiguated ID Type / Status
Subject Phalba, Texas E371997 entity
Predicate hasName P744 FINISHED
Object Phalba, Texas E371997 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: Phalba, Texas | Statement: [Phalba, Texas, hasName, Phalba, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phalba, Texas
Context triple: [Phalba, Texas, hasName, Phalba, Texas]
  • A. Phalba, Texas chosen
    Phalba, Texas is a small unincorporated rural community located in Van Zandt County in East Texas.
  • B. Tolar, Texas
    Tolar, Texas is a small rural city in Hood County known for its tight-knit community and location within the Granbury–Hood County area of North Central Texas.
  • C. Kenefick, Texas
    Kenefick, Texas is a small rural town in southeastern Texas known for its quiet residential character within the Greater Houston region.
  • D. Talty, Texas
    Talty, Texas is a small town in northeastern Texas that functions largely as a residential community within the Dallas–Fort Worth metropolitan area.
  • E. Van Alstyne, Texas
    Van Alstyne, Texas is a small North Texas city known for its historic downtown, rural charm, and growing role as a bedroom community between Sherman and the Dallas–Fort Worth metroplex.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f680cec8190836a5ec841dee224 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cff942081908a2f5351079666a3 completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:33 a.m.