Triple

T16557307
Position Surface form Disambiguated ID Type / Status
Subject Ioannina National Airport E402242 entity
Predicate hasIATACode P2569 FINISHED
Object IOA E1080990 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: IOA | Statement: [Ioannina National Airport, hasIATACode, IOA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IOA
Context triple: [Ioannina National Airport, hasIATACode, IOA]
  • A. IOA chosen
    IOA is the acronym for the International Olympic Academy, an educational and cultural institution dedicated to promoting the ideals and values of Olympism worldwide.
  • B. OIA
    OIA is a common acronym for an Office of International Affairs, typically a governmental or institutional body that manages international relations, partnerships, and global programs.
  • C. IAO
    IAO is the abbreviation for the Fraunhofer Institute for Industrial Engineering, a German research institute focused on applied industrial and organizational engineering.
  • D. IOE
    IOE is the University College London Institute of Education, a leading centre for research and teaching in education and social science.
  • E. IOE
    IOE is the Independent Office of Evaluation of the International Fund for Agricultural Development, responsible for assessing the effectiveness and impact of IFAD’s strategies and operations.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fca6db8819098c4f3919bb052d8 completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067bcb698819092ede6ba4f8a4a2b completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.