Triple

T23335794
Position Surface form Disambiguated ID Type / Status
Subject Midland campus E591578 entity
Predicate locatedIn P40 FINISHED
Object Midland, Texas NE NERFINISHED

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: Midland, Texas | Statement: [Midland campus, locatedIn, Midland, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Midland, Texas
Context triple: [Midland campus, locatedIn, Midland, Texas]
  • A. Midland, Texas, United States chosen
    Midland, Texas, United States, is an oil-rich city in West Texas known as a major center of the Permian Basin energy industry and for its ties to prominent political families.
  • B. Newton, Texas
    Newton, Texas is a small city in eastern Texas that serves as the administrative and commercial hub of Newton County.
  • C. Meridian, Texas
    Meridian, Texas is a small central Texas city that serves as the administrative and cultural hub of Bosque County.
  • D. Center, Texas
    Center, Texas is a small East Texas city that serves as the administrative and commercial hub of Shelby County.
  • E. Millican, Texas
    Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197f1e0588190bf073b92be0bf9e4 completed April 29, 2026, 5:32 a.m.
Created at: April 17, 2026, 5:16 p.m.