Triple

T15677879
Position Surface form Disambiguated ID Type / Status
Subject POZ E377491 entity
Predicate hasICAOCode P419 FINISHED
Object EPPO E377492 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: EPPO | Statement: [POZ, hasICAOCode, EPPO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EPPO
Context triple: [POZ, hasICAOCode, EPPO]
  • A. EPPO chosen
    EPPO is the ICAO airport code for Poznań–Ławica Airport, an international airport serving the city of Poznań in western Poland.
  • B. EPPO
    EPPO is the European Union body responsible for investigating and prosecuting crimes affecting the EU’s financial interests, such as fraud and corruption involving EU funds.
  • C. EOP
    EOP is the collective group of offices and agencies that directly support the President of the United States in carrying out executive responsibilities and policy initiatives.
  • D. EPP
    EPP is a major center-right, pro-European political party at the European level, bringing together Christian democratic and conservative parties from across the European Union.
  • E. EPOP
    EPOP is the ICAO airport code assigned to Opole-Polska Nowa Wieś Airport, a Polish airfield primarily serving sports and general aviation.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2f1640819086efd5a73bb9734a completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee0446881909e9c2504d51d49a3 completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:16 a.m.