Triple

T15592272
Position Surface form Disambiguated ID Type / Status
Subject Lamb County E374774 entity
Predicate seat P75 FINISHED
Object Littlefield, Texas E1036263 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: Littlefield, Texas | Statement: [Lamb County, seat, Littlefield, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Littlefield, Texas
Context triple: [Lamb County, seat, Littlefield, Texas]
  • A. Littlefield, Texas chosen
    Littlefield, Texas is a small city in the South Plains region known historically for its cotton farming and as the hometown of country singer Waylon Jennings.
  • B. Kenefick, Texas
    Kenefick, Texas is a small rural town in southeastern Texas known for its quiet residential character within the Greater Houston region.
  • C. Lingleville, Texas
    Lingleville, Texas is a small unincorporated rural community located in Erath County in north-central Texas.
  • D. 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.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e5e43d48190a8fd367f13f1c7e1 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c55fa248190b114a5b63560f87b completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:12 a.m.