Triple

T3068641
Position Surface form Disambiguated ID Type / Status
Subject Abu Dhabi International Airport E62165 entity
Predicate hasAirportCode P6089 FINISHED
Object AUH E322129 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: AUH | Statement: [Abu Dhabi International Airport, hasAirportCode, AUH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AUH
Context triple: [Abu Dhabi International Airport, hasAirportCode, AUH]
  • A. AUH chosen
    AUH is the three-letter IATA airport code for Abu Dhabi International Airport, the main international gateway to the capital of the United Arab Emirates.
  • B. UAH
    UAH is the currency code for the Ukrainian hryvnia, the official national currency of Ukraine.
  • C. ACU
    ACU is the standard camouflage field uniform worn by soldiers of the United States Army.
  • D. ACU
    ACU (the Association of Commonwealth Universities) is an international network of higher education institutions from Commonwealth countries that promotes collaboration, academic excellence, and educational development.
  • E. ULM School of Aviation
    ULM School of Aviation is the aviation education and training program of the University of Louisiana at Monroe, offering professional pilot and aviation-related degree pathways.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0ffcc208190962cc9edcbf43c31 completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f87bec6c8190ae928fc7c4467859 completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:02 p.m.