Triple

T7768695
Position Surface form Disambiguated ID Type / Status
Subject Mackinac Island Airport E179013 entity
Predicate has code type P56964 FINISHED
Object IATA LITERAL 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: IATA | Statement: [Mackinac Island Airport, has code type, IATA]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: has code type
Context triple: [Mackinac Island Airport, has code type, IATA]
  • A. hasTypeCode chosen
    Indicates that an entity is associated with a specific type classification represented by a code.
  • B. codeType
    Indicates the classification or category assigned to a particular code within a coding or encoding system.
  • C. hasCommunicationCodeType
    Indicates that an entity is associated with a specific type or category of communication code (e.g., phone, fax, email, messaging).
  • D. hasCodeIn
    Indicates that one entity is represented, defined, or implemented within the codebase or coding context of another entity.
  • E. hasProgramCode
    Indicates that an entity is associated with a specific program identifier or code used to reference or classify it within a system.
  • F. None of above.

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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c704376dc08190890f5ebb9f259cfd completed March 27, 2026, 10:27 p.m.
PD Predicate disambiguation batch_69c7016f4ce881909c2e9f610255187b completed March 27, 2026, 10:15 p.m.
Created at: March 27, 2026, 4:11 p.m.