Triple

T21280137
Position Surface form Disambiguated ID Type / Status
Subject Howard County, Texas E524498 entity
Predicate largestCity P235 FINISHED
Object Big Spring, 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: Big Spring, Texas | Statement: [Howard County, Texas, largestCity, Big Spring, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big Spring, Texas
Context triple: [Howard County, Texas, largestCity, Big Spring, Texas]
  • A. Big Spring, Texas chosen
    Big Spring, Texas is a small West Texas city and county seat of Howard County known historically as a regional oil, gas, and transportation hub.
  • B. Big Sandy, Texas
    Big Sandy, Texas is a small rural town in East Texas known for its close-knit community and location within Upshur County.
  • C. Rosebud, Texas
    Rosebud, Texas is a small rural city in central Texas known for its agricultural community and historic small-town character.
  • D. Balch Springs
    Balch Springs is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
  • E. Crandall, Texas
    Crandall, Texas is a small city in North Texas that serves as a residential community within the Dallas–Fort Worth metropolitan area.
  • 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73659b56c8190af283348378b1cff completed April 21, 2026, 8:33 a.m.
Created at: April 16, 2026, 4:02 p.m.