Triple

T23483300
Position Surface form Disambiguated ID Type / Status
Subject Atikokan Municipal Airport E570462 entity
Predicate pushpinLabel P9248 FINISHED
Object CYIB 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: CYIB | Statement: [Atikokan Municipal Airport, pushpinLabel, CYIB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CYIB
Context triple: [Atikokan Municipal Airport, pushpinLabel, CYIB]
  • A. CYIB chosen
    CYIB is the ICAO airport code for Atikokan Municipal Airport, a small regional airport serving the town of Atikokan in northwestern Ontario, Canada.
  • B. YIB
    YIB is the IATA airport code for Atikokan Municipal Airport, a small regional airport serving the town of Atikokan in northwestern Ontario, Canada.
  • C. CIY
    CIY is the IATA airport code for Comiso Airport, a civil airport serving the Ragusa area in Sicily, Italy.
  • D. CYI
    CYI is the IATA airport code for Chiayi Airport, a public and military airfield serving Chiayi in southwestern Taiwan.
  • E. CIB
    CIB is the abbreviation commonly used for Corporate and Institutional Banking, a banking division that provides financial services to large corporations, institutions, and governments.
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a751e6a08190a42c36722275d5d3 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:03 p.m.