Triple

T14038331
Position Surface form Disambiguated ID Type / Status
Subject Arctic and Antarctic Research Institute E337770 entity
Predicate alsoKnownAs P39 FINISHED
Object AARI E508152 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: AARI | Statement: [Arctic and Antarctic Research Institute, alsoKnownAs, AARI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AARI
Context triple: [Arctic and Antarctic Research Institute, alsoKnownAs, AARI]
  • A. AARI chosen
    AARI is a Russian polar research institute that leads and coordinates the country’s scientific activities in the Arctic and Antarctic regions.
  • B. Aari
    Aari is an Omotic language spoken primarily by the Aari people in southwestern Ethiopia.
  • C. AAR
    AAR is the ICAO airline designator used to identify Asiana Airlines in international aviation operations and communications.
  • D. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • E. AAR
    AAR is the commonly used abbreviation for All-American Road, a designation for particularly scenic and culturally significant highways in the United States.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de30ee374081908b6b5e8f81dd90f2 completed April 14, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb65a21088190a14808d09b2b9f42 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:20 p.m.