Triple

T9317367
Position Surface form Disambiguated ID Type / Status
Subject Concourse D E224157 entity
Predicate hasIATACode P2569 FINISHED
Object LAS E216218 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: LAS | Statement: [Concourse D, hasIATACode, LAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LAS
Context triple: [Concourse D, hasIATACode, LAS]
  • A. LAS
    LAS is the commonly used abbreviation for the Arab League, a regional organization of Arab countries in and around North Africa, the Horn of Africa, and the Middle East.
  • B. LAS chosen
    LAS is the IATA airport code for Harry Reid International Airport, the primary commercial airport serving Las Vegas, Nevada.
  • C. LAS
    LAS is an abbreviation commonly used for the College of Liberal Arts and Sciences at many universities, encompassing a broad range of humanities, social sciences, and natural sciences disciplines.
  • D. LS
    LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
  • E. LS
    LS is a base trim level designation commonly used by Chevrolet for entry-level versions of its vehicles, including the Trailblazer.
  • 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd35899b9081908bb0c310cc25722f completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e3aa178881909e773e11c3892381 completed April 4, 2026, 10:10 a.m.
Created at: March 30, 2026, 7:38 p.m.