Triple

T12824125
Position Surface form Disambiguated ID Type / Status
Subject Concourse C1 E306604 entity
Predicate partOf P40 FINISHED
Object Terminal C E383344 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: Terminal C | Statement: [Concourse C1, partOf, Terminal C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Terminal C
Context triple: [Concourse C1, partOf, Terminal C]
  • A. Terminal C
    Terminal C is one of the passenger terminals at Sheremetyevo International Airport in Moscow, serving as a hub for various international and domestic flights.
  • B. Terminal C
    Terminal C is one of the passenger terminals at Ministro Pistarini International Airport (Ezeiza), serving as a key facility for airline operations and traveler services.
  • C. Terminal C
    Terminal C is one of the passenger terminals at General Mariano Escobedo International Airport in Monterrey, Mexico, serving commercial airline operations and traveler services.
  • D. Terminal C chosen
    Terminal C is one of the main passenger terminals at George Bush Intercontinental Airport in Houston, primarily serving domestic flights and major U.S. carriers.
  • E. Terminal C
    Terminal C is one of the passenger terminals at Düsseldorf Airport in Germany, serving various airlines and flights with check-in, security, and boarding facilities.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96edcc99c8190986cd78fe4714835 completed April 10, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ed337248190a007fe18c6379910 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:32 p.m.