Triple

T15856954
Position Surface form Disambiguated ID Type / Status
Subject Ector County E384482 entity
Predicate hasAirport P105 FINISHED
Object Odessa-Schlemeyer Field E1112860 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-Schlemeyer Field | Statement: [Ector County, hasAirport, Odessa-Schlemeyer Field]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odessa-Schlemeyer Field
Context triple: [Ector County, hasAirport, Odessa-Schlemeyer Field]
  • A. Odessa-Schlemeyer Field chosen
    Odessa-Schlemeyer Field is a public airport serving general aviation needs for the Odessa, Texas area.
  • B. O'Brien Field
    O'Brien Field is the primary outdoor stadium and athletic venue used for football and other sporting events at Eastern Illinois University.
  • C. Snyder Field
    Snyder Field is an athletic field and stadium facility located on the campus of Wofford College in Spartanburg, South Carolina.
  • D. Reeder Field
    Reeder Field is a baseball stadium that serves as the home venue for the Golden Eagles.
  • E. Esler Field
    Esler Field is a former U.S. Army Airfield near Pineville, Louisiana, now used primarily as a regional airport and training site.
  • 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_69ffcf0dd5ec8190b9a44d2ccbe90c52 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:50 a.m.