Triple

T4255806
Position Surface form Disambiguated ID Type / Status
Subject Bandaranaike International Airport E95970 entity
Predicate hasTerminal P182 FINISHED
Object Terminal 3 (domestic) E189766 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 3 (domestic) | Statement: [Bandaranaike International Airport, hasTerminal, Terminal 3 (domestic)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal 3 (domestic)
Context triple: [Bandaranaike International Airport, hasTerminal, Terminal 3 (domestic)]
  • A. Terminal 3C
    Terminal 3C is a concourse within Beijing Capital International Airport’s expansive Terminal 3 complex, serving as one of its passenger boarding and transfer areas.
  • B. Terminal 3
    Terminal 3 is the main modern passenger terminal at Indira Gandhi International Airport in Delhi, handling the bulk of its international and many domestic flights.
  • C. Terminal 3
    Terminal 3 is one of the main passenger terminals at Leonardo da Vinci–Fiumicino Airport in Rome, handling a large share of the airport’s international and domestic flights.
  • D. Terminal 3 chosen
    Terminal 3 is one of the passenger terminals at Mehrabad International Airport in Tehran, serving domestic air traffic within Iran.
  • E. Terminal 3
    Terminal 3 is the newest and largest international passenger terminal at São Paulo–Guarulhos International Airport, designed to handle long-haul flights with modern facilities and increased capacity.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec1971c81908f7a72418efa8bcc completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a88a68f081909e5bae5b0414f534 completed March 14, 2026, 6:27 p.m.
Created at: March 12, 2026, 11:06 p.m.