Triple

T15856935
Position Surface form Disambiguated ID Type / Status
Subject Ector County E384482 entity
Predicate contains P35 FINISHED
Object Odessa, Texas E251869 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: Odessa, Texas | Statement: [Ector County, contains, Odessa, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odessa, Texas
Context triple: [Ector County, contains, Odessa, Texas]
  • A. Odessa, Texas chosen
    Odessa, Texas is a mid-sized West Texas city known for its oil and gas industry, high school football culture, and role as a regional economic hub in the Permian Basin.
  • B. Navasota, Texas
    Navasota, Texas is a small city in Grimes County that serves as a historic railroad and commercial hub within the Greater Houston metropolitan area.
  • C. O'Donnell, Texas
    O'Donnell, Texas is a small rural community in West Texas known historically for its agricultural roots and tight-knit local population.
  • D. Columbus, Texas
    Columbus, Texas is a small historic city in southeastern Texas that serves as the county seat of Colorado County and lies west of the greater Houston metropolitan region.
  • E. Wellington, Texas
    Wellington, Texas is a small city in the Texas Panhandle known as the primary local hub for government, services, and commerce in rural Collingsworth County.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555808688190882b610109d1e5f4 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb03c8cb081908c18c7b2d143c4b4 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 4:50 a.m.