Triple

T22606175
Position Surface form Disambiguated ID Type / Status
Subject Durant Regional Airport – Eaker Field E566564 entity
Predicate FAAIdentifier P420 FINISHED
Object DUA NE NERFINISHED

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: DUA | Statement: [Durant Regional Airport – Eaker Field, FAAIdentifier, DUA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DUA
Context triple: [Durant Regional Airport – Eaker Field, FAAIdentifier, DUA]
  • A. DUA chosen
    DUA is the IATA airport code for Durant Regional Airport – Eaker Field, a public airport serving Durant, Oklahoma.
  • B. Dua
    Dua is the first name of Dua Lipa, a British-Albanian pop singer and songwriter known for hits like "New Rules" and "Levitating."
  • C. DUO
    DUO is the Dutch governmental agency responsible for administering student finance, education data, and various educational regulations in the Netherlands.
  • D. Pami Dua
    Pami Dua is an Indian economist and academic known for her contributions to econometrics and macroeconomic policy research, and for her leadership roles at the Delhi School of Economics.
  • E. The Duet
    "The Duet" is a painting by British Pre-Raphaelite artist Lucy Madox Brown, likely depicting an intimate musical scene in the detailed, romantic style characteristic of the movement.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1627172488190beb87df965498bcc completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:54 p.m.