Triple

T2728811
Position Surface form Disambiguated ID Type / Status
Subject Sky Harbor Airport E60259 entity
Predicate hasPassengerTerminal P1297 FINISHED
Object Terminal 3 E21608 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 | Statement: [Sky Harbor Airport, hasPassengerTerminal, Terminal 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal 3
Context triple: [Sky Harbor Airport, hasPassengerTerminal, Terminal 3]
  • A. Terminal 3 chosen
    Terminal 3 is one of the main passenger terminals at Phoenix Sky Harbor International Airport, serving as a hub for multiple domestic and some international flights with modernized facilities and amenities.
  • B. Terminal 3
    Terminal 3 is the largest and most modern passenger terminal at Beijing Capital International Airport, serving as a major international aviation hub.
  • C. Terminal 3
    Terminal 3 is one of the main passenger terminals at Chicago O'Hare International Airport, serving numerous domestic and some international flights for major U.S. airlines.
  • D. Terminal 3
    Terminal 3 is one of the main passenger terminals at Fort Lauderdale–Hollywood International Airport, serving various domestic and international airline operations.
  • E. Terminal 3
    Terminal 3 is one of the passenger terminals at Mehrabad International Airport in Tehran, serving domestic air traffic within Iran.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaeaee388190a21e7fa0b8f83546 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb69aa8b081909c57e8a7f64d0913 completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:56 p.m.