Triple

T17344913
Position Surface form Disambiguated ID Type / Status
Subject RPVM E421658 entity
Predicate associatedIataCode P2569 FINISHED
Object CEB E421657 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: CEB | Statement: [RPVM, associatedIataCode, CEB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CEB
Context triple: [RPVM, associatedIataCode, CEB]
  • A. CEB
    CEB is the acronym for the United Nations Chief Executives Board for Coordination, the highest-level coordination forum of the UN system’s executive heads.
  • B. CEB chosen
    CEB is the IATA airport code for Mactan–Cebu International Airport, the main air gateway serving Cebu and the central Visayas region in the Philippines.
  • C. CEB
    CEB is a global best-practices and advisory firm that provides research, benchmarking, and consulting services to executives across various industries.
  • D. CEBS
    CEBS is the former Committee of European Banking Supervisors, a European Union body that coordinated banking regulation and supervisory practices across member states before being replaced by the European Banking Authority.
  • E. CBE
    CBE is the Central Bank of Egypt, the country’s primary monetary authority responsible for issuing currency, formulating monetary policy, and regulating the banking sector.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a27a350819086faf12e6bf9f0e2 completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195546198819085804ec0b5b18040 completed May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.