Triple

T11524643
Position Surface form Disambiguated ID Type / Status
Subject OZ E273259 entity
Predicate airlineICAOCode P26821 FINISHED
Object AAR E273260 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: AAR | Statement: [OZ, airlineICAOCode, AAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AAR
Context triple: [OZ, airlineICAOCode, AAR]
  • A. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • B. AAR chosen
    AAR is the ICAO airline designator used to identify Asiana Airlines in international aviation operations and communications.
  • C. AAR
    AAR is the commonly used abbreviation for All-American Road, a designation for particularly scenic and culturally significant highways in the United States.
  • D. AARI
    AARI is a Russian polar research institute that leads and coordinates the country’s scientific activities in the Arctic and Antarctic regions.
  • E. ARA
    ARA (arachidonic acid) is a long-chain omega-6 fatty acid important for infant brain and eye development and commonly added to baby formulas.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fd26648819083de19bcddf8ad69 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e62562efb88190bbf3c7bbec8233aa completed April 20, 2026, 1:08 p.m.
Created at: April 8, 2026, 9:37 p.m.