Triple

T12987035
Position Surface form Disambiguated ID Type / Status
Subject College of Liberal Arts and Sciences E321794 entity
Predicate shortName P43 FINISHED
Object LAS E73961 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: [College of Liberal Arts and Sciences, shortName, LAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LAS
Context triple: [College of Liberal Arts and Sciences, shortName, 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
    LAS is the IATA airport code for Harry Reid International Airport, the primary commercial airport serving Las Vegas, Nevada.
  • C. LAS chosen
    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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e5f47ec8190b39107bc016f9824 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8f6245c8190867417c3ef1852e5 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:40 p.m.