Triple

T3850565
Position Surface form Disambiguated ID Type / Status
Subject EGKK E85284 entity
Predicate hasTerminal P182 FINISHED
Object South Terminal E90746 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: South Terminal | Statement: [EGKK, hasTerminal, South Terminal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Terminal
Context triple: [EGKK, hasTerminal, South Terminal]
  • A. South Terminal
    South Terminal is one of the main passenger terminals at Miami International Airport, serving multiple airlines and handling a significant share of the airport’s domestic and international flights.
  • B. South Terminal
    South Terminal is one of the passenger terminals at Piarco International Airport in Trinidad and Tobago, serving travelers with check-in, boarding, and arrival facilities.
  • C. South Terminal chosen
    South Terminal is one of the two main passenger terminals at London Gatwick Airport, handling a large share of the airport’s flights and passenger services.
  • D. South Terminal
    South Terminal is a secondary, smaller terminal at Vancouver International Airport that primarily serves regional and charter flights.
  • E. East Terminal
    East Terminal is one of the passenger terminals at St. Louis Lambert International Airport, serving as a concourse for commercial airline operations and traveler services.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeebcf67788190975105131baabc4b completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5122eb2708190b1aa9da233481015 completed March 14, 2026, 7:45 a.m.
Created at: March 9, 2026, 3:19 p.m.