Triple

T14269830
Position Surface form Disambiguated ID Type / Status
Subject KWI E353749 entity
Predicate hasPassengerTerminal P1297 FINISHED
Object Terminal 4 E220469 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 4 | Statement: [KWI, hasPassengerTerminal, Terminal 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal 4
Context triple: [KWI, hasPassengerTerminal, Terminal 4]
  • A. Terminal 4 chosen
    Terminal 4 is a passenger terminal facility at King Khalid International Airport in Riyadh, Saudi Arabia, serving commercial air traffic with check-in, boarding, and arrival services.
  • B. Terminal 4
    Terminal 4 is one of the passenger terminals at Ninoy Aquino International Airport in Manila, primarily serving domestic flights with basic, low-cost carrier facilities.
  • C. Terminal 4
    Terminal 4 is one of the passenger terminals at Stockholm Arlanda Airport, primarily serving domestic and some regional flights within Scandinavia.
  • D. Terminal 4
    Terminal 4 is one of the passenger terminals at Perth Airport in Western Australia, serving selected domestic airline operations.
  • E. Terminal 4
    Terminal 4 is a major passenger terminal at Cancún International Airport that handles a large share of the airport’s international and domestic flights.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de657fe6708190b41de48c43cff647 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c31654c81908f53d4c21e255afb completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:10 a.m.