Triple

T4688861
Position Surface form Disambiguated ID Type / Status
Subject Arlanda Central Station E103984 entity
Predicate servesTerminal P20599 FINISHED
Object Terminal 4 E124974 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: [Arlanda Central Station, servesTerminal, Terminal 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal 4
Context triple: [Arlanda Central Station, servesTerminal, Terminal 4]
  • A. Terminal 4
    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 Heathrow Airport’s passenger terminals, serving a mix of international airlines and routes with its own check-in, security, and arrivals facilities.
  • D. Terminal 4 chosen
    Terminal 4 is one of the passenger terminals at Stockholm Arlanda Airport, primarily serving domestic and some regional flights within Scandinavia.
  • E. Terminal 4
    Terminal 4 is the large, modern main passenger terminal at Madrid’s Adolfo Suárez Madrid–Barajas Airport, known for its distinctive architecture and role as a major hub for Iberia and oneworld airlines.
  • 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_69bd43df91f481908e9add1b617b60ef completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6399621881909aa8ffb1c27284e9 completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5c84eb4481908a7188672624bc4d completed March 21, 2026, 8:53 a.m.
Created at: March 20, 2026, 1:16 p.m.