Triple

T11388846
Position Surface form Disambiguated ID Type / Status
Subject USS Pillsbury E269779 entity
Predicate builtAt P283 FINISHED
Object Orange, Texas E314437 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: Orange, Texas | Statement: [USS Pillsbury, builtAt, Orange, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orange, Texas
Context triple: [USS Pillsbury, builtAt, Orange, Texas]
  • A. Orange, Texas chosen
    Orange, Texas is a small industrial and port city on the Sabine River near the Louisiana border, known for its petrochemical industry and role in the Southeast Texas region.
  • B. Oak Ridge, Texas
    Oak Ridge, Texas is a small town located in Kaufman County in the northeastern region of the state, within the Dallas–Fort Worth metropolitan area.
  • C. Cypress, Texas
    Cypress, Texas is an unincorporated suburban community in Harris County, Texas, known for its master-planned neighborhoods, strong school districts, and location northwest of Houston.
  • D. Aurora, Texas
    Aurora, Texas is a small rural town in North Texas best known for its 1897 "UFO crash" legend and historic cemetery.
  • E. Rhome, Texas
    Rhome, Texas is a small city in North Texas that serves as a rural 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 (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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc389d4c81909515a5c8b0099c36 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58c672da48190affacc0f19ef0c7a completed April 20, 2026, 2:16 a.m.
Created at: April 8, 2026, 9:34 p.m.