Triple

T7449778
Position Surface form Disambiguated ID Type / Status
Subject Terminal B E171976 entity
Predicate hasSisterTerminal P31639 FINISHED
Object Terminal A 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 A | Statement: [Terminal B, hasSisterTerminal, Terminal A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal A
Context triple: [Terminal B, hasSisterTerminal, Terminal A]
  • A. Terminal A
    Terminal A is one of the main passenger terminals at Sacramento International Airport, serving airline check-in, security, boarding gates, and baggage claim operations.
  • B. Terminal A
    Terminal A is one of the passenger terminals at Hollywood Burbank Airport, serving as a primary facility for airline check-in, security screening, and boarding.
  • C. Terminal A
    Terminal A is a passenger terminal at General Mariano Escobedo International Airport in Monterrey, Mexico, serving as one of the airport’s main facilities for airline operations and traveler services.
  • D. Terminal A
    Terminal A is one of the main passenger terminals at O. R. Tambo International Airport in Johannesburg, serving as a key hub for airline check-in, departures, and arrivals.
  • E. Terminal A
    Terminal A is a primary passenger terminal at Bradley International Airport in Connecticut, serving as a hub for check-in, security, and boarding operations.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f38af3fc8190bc5c57ca89d976bc completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827b0e9848190b28ff10b12b10a33 completed March 28, 2026, 7:10 p.m.
Created at: March 27, 2026, 3:14 p.m.