Triple

T22742746
Position Surface form Disambiguated ID Type / Status
Subject Concourse B, North E562458 entity
Predicate partOf P40 FINISHED
Object Terminal 4 NE NERFINISHED

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: [Concourse B, North, partOf, Terminal 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal 4
Context triple: [Concourse B, North, partOf, 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 passenger terminal at Monterrey International Airport (MMUN) in Mexico, serving commercial air traffic with check-in, security, boarding, and baggage facilities.
  • C. Terminal 4
    Terminal 4 is the largest and primary passenger terminal at Phoenix Sky Harbor International Airport, serving most of the airport’s domestic and international flights.
  • D. Terminal 4
    Terminal 4 is a budget-focused domestic terminal at Melbourne Airport that primarily serves low-cost and regional airlines.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17974c3208190ae1d6b05639cc942 completed April 29, 2026, 3:22 a.m.
Created at: April 17, 2026, 3:23 p.m.