Triple

T17102998
Position Surface form Disambiguated ID Type / Status
Subject Perth Airport E415024 entity
Predicate hasTerminal P182 FINISHED
Object Terminal 4 E417572 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: [Perth Airport, hasTerminal, Terminal 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal 4
Context triple: [Perth Airport, hasTerminal, Terminal 4]
  • A. Terminal 4
    Terminal 4 is one of Heathrow Airport’s passenger terminals, serving a mix of international airlines and routes with its own check-in, security, and arrivals facilities.
  • B. Terminal 4
    Terminal 4 is a dedicated passenger terminal at Kuwait International Airport, primarily serving Kuwait Airways and designed to expand the airport’s capacity and improve passenger services.
  • C. Terminal 4 chosen
    Terminal 4 is one of the passenger terminals at Perth Airport in Western Australia, serving selected domestic airline operations.
  • D. 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.
  • E. Terminal 4
    Terminal 4 is a modern, high-tech passenger terminal at Singapore Changi Airport known for its automated check-in, immigration, and boarding processes.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2495c88190b5b16a006a994faf completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014143edb081909509c5435d392dd0 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:35 a.m.