Triple

T17083555
Position Surface form Disambiguated ID Type / Status
Subject United States Census Bureau places in Texas E414534 entity
Predicate hasPart P35 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: [United States Census Bureau places in Texas, hasPart, Midland, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Midland, Texas
Context triple: [United States Census Bureau places in Texas, hasPart, 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. Center, Texas
    Center, Texas is a small East Texas city that serves as the administrative and commercial hub of Shelby County.
  • D. Millican, Texas
    Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
  • E. Moody, Texas
    Moody, Texas is a small rural city in Central Texas known for its close-knit community and agricultural surroundings.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe4d3908190b23ce3c2d3fe7d14 completed April 18, 2026, 7:30 p.m.
Created at: April 10, 2026, 5:35 a.m.