Triple

T2647799
Position Surface form Disambiguated ID Type / Status
Subject West Texas E53824 entity
Predicate contains P35 FINISHED
Object Lubbock E146439 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: Lubbock | Statement: [West Texas, contains, Lubbock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lubbock
Context triple: [West Texas, contains, Lubbock]
  • A. Lubbock chosen
    Lubbock is a major city in northwest Texas known for its role as an agricultural, educational, and economic hub of the region.
  • B. Denton
    Denton is a town in Tameside, Greater Manchester, England, historically known for its hat-making industry and later as a residential and light industrial area near Manchester.
  • C. Denton
    Denton is the given first name of legendary Major League Baseball pitcher Cy Young, the all-time leader in career wins.
  • D. Kerrville
    Kerrville is a small city in central Texas known for its scenic Guadalupe River setting, Hill Country landscapes, and vibrant arts and music festivals.
  • E. Corsicana
    Corsicana is a small city in north-central Texas known for its oil boom history and as a regional commercial and transportation hub between Dallas and Houston.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd919bf2c81908feb768f3391e985 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbb328a88190b0ef889cbbe3bea3 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:53 p.m.