Triple

T4222453
Position Surface form Disambiguated ID Type / Status
Subject CHI E94372 entity
Predicate hasIATAOverlap P55402 FINISHED
Object CHI (Chicago area airport code group) 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: CHI (Chicago area airport code group) | Statement: [CHI, hasIATAOverlap, CHI (Chicago area airport code group)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIATAOverlap
Context triple: [CHI, hasIATAOverlap, CHI (Chicago area airport code group)]
  • A. hasIATAcode
    Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
  • B. hasCodeShareOrInterline
    Indicates that there exists a codeshare or interline agreement relationship between the referenced transportation services or carriers.
  • C. IATAcode
    Indicates the three-letter IATA airport or airline code assigned to the entity.
  • D. hasInternationalTerminal
    Indicates that a transportation facility includes a terminal specifically designated for handling international arrivals and departures.
  • E. associatedWithIATAAirlineCode
    Indicates that an entity is linked to or identified by a specific IATA airline code.
  • F. None of above. chosen

Provenance (4 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_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34e4bf6088190926b982039a12079 completed March 12, 2026, 11:37 p.m.
PD Predicate disambiguation batch_69b347f1d7b48190bd8974c03c7dc937 completed March 12, 2026, 11:10 p.m.
PDg Predicate description generation batch_69b34e4ace648190acf911853d4fcf86 completed March 12, 2026, 11:37 p.m.
Created at: March 12, 2026, 11:04 p.m.