Triple

T17864247
Position Surface form Disambiguated ID Type / Status
Subject Oran Ahmed Ben Bella Airport E446651 entity
Predicate hasICAOCode P419 FINISHED
Object DAOO 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: DAOO | Statement: [Oran Ahmed Ben Bella Airport, hasICAOCode, DAOO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DAOO
Context triple: [Oran Ahmed Ben Bella Airport, hasICAOCode, DAOO]
  • A. DAOO chosen
    DAOO is the ICAO airport code assigned to Oran Ahmed Ben Bella Airport in Oran, Algeria.
  • B. DAO
    DAO is the ICAO airline designator assigned to Daallo Airlines, a regional carrier based in the Horn of Africa.
  • C. DAO
    DAO (Data Access Objects) is an older Microsoft data access technology that provides an object-oriented interface for working with databases, particularly Jet/Access databases.
  • D. PleasrDAO
    PleasrDAO is a decentralized autonomous organization known for collectively acquiring culturally significant digital and physical artworks, including high-profile NFTs and rare pieces.
  • E. DoA
    DoA is the government agency in Sri Lanka responsible for the research, preservation, and management of the country’s archaeological heritage.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49792ccf88190a0984963bb385688 completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.