Triple

T12931818
Position Surface form Disambiguated ID Type / Status
Subject Concourse C3 E309401 entity
Predicate partOf P40 FINISHED
Object Terminal C unclear NED1 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 C3, partOf, Terminal C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Terminal C
Context triple: [Concourse C3, 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 Hannover Airport in Germany, serving commercial air traffic with check-in, security, and boarding facilities.
  • D. Terminal C
    Terminal C is a passenger terminal at Katowice Airport in Poland, serving as one of the airport’s main facilities for handling air travelers.
  • 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. chosen

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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97dc53060819090a126f15428e411 completed April 10, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af6a830881908ab238b250d2c7d5 completed May 3, 2026, 2:14 a.m.
Created at: April 9, 2026, 5:42 p.m.