Triple

T13878047
Position Surface form Disambiguated ID Type / Status
Subject Davison Army Airfield E333633 entity
Predicate hasIATACode P2569 FINISHED
Object DAA E333633 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: DAA | Statement: [Davison Army Airfield, hasIATACode, DAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DAA
Context triple: [Davison Army Airfield, hasIATACode, DAA]
  • A. DAA chosen
    DAA is the IATA airport code for Davison Army Airfield, a U.S. Army aviation facility located at Fort Belvoir, Virginia.
  • B. daa
    daa is the Irish state-owned airport operator responsible for managing Dublin Airport and other aviation and travel-related businesses.
  • C. DDA
    DDA is the Delhi Development Authority, the government agency responsible for planning, development, and housing infrastructure in India’s National Capital Territory of Delhi.
  • D. DDA
    DDA is the commonly used abbreviation for the Division on Dynamical Astronomy, a professional group focused on the study of celestial dynamics within the American Astronomical Society.
  • E. DSA
    DSA is India’s tri-service Defence Space Agency responsible for coordinating and enhancing the country’s military space capabilities.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be71d388190909290cad2c6daf5 completed April 14, 2026, 9:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c7100b308190bdd5feaa116ee5fe completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.