Triple

T16699169
Position Surface form Disambiguated ID Type / Status
Subject CMH E405796 entity
Predicate associatedFAAIdentifier P420 FINISHED
Object CMH E405796 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: CMH | Statement: [CMH, associatedFAAIdentifier, CMH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CMH
Context triple: [CMH, associatedFAAIdentifier, CMH]
  • A. CMH chosen
    CMH is the IATA airport code for John Glenn Columbus International Airport, the primary commercial airport serving Columbus, Ohio.
  • B. CAMH
    CAMH is a non-collecting contemporary art museum in Houston, Texas, known for presenting cutting-edge exhibitions and programs featuring emerging and established artists.
  • C. KCMH
    KCMH is the ICAO airport code for John Glenn Columbus International Airport, a major commercial airport serving Columbus, Ohio.
  • D. CMC
    CMC is the abbreviation for the Common Market Council, a governing body that oversees and coordinates policies within a common market framework.
  • E. CMC
    CMC is a state prison facility in San Luis Obispo, California, officially known as the California Men's Colony.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e383300d108190911e3cba8e07f2dd completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00919ee61c81909928dd26270e9614 completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.