Triple

T1996141
Position Surface form Disambiguated ID Type / Status
Subject Mexico City International Airport E43362 entity
Predicate hasPassengerTerminal P1297 FINISHED
Object Terminal 2 E49284 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 2 | Statement: [Mexico City International Airport, hasPassengerTerminal, Terminal 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal 2
Context triple: [Mexico City International Airport, hasPassengerTerminal, Terminal 2]
  • A. Terminal 2
    Terminal 2 is a major passenger terminal at Ronald Reagan Washington National Airport serving numerous domestic airline operations and traveler amenities.
  • B. Terminal 2
    Terminal 2 is one of the main passenger terminals at Manchester Airport, handling a large share of the airport’s international and domestic flights.
  • C. Terminal 2
    Terminal 2 is a modern, sustainably designed passenger terminal at San Francisco International Airport known for its upgraded amenities, art installations, and improved traveler experience.
  • D. Terminal 2 chosen
    Terminal 2 is the newer, modern passenger terminal at Mexico City International Airport, serving as a major hub for several domestic and international airlines.
  • E. Terminal 2
    Terminal 2 is a passenger terminal at El Dorado International Airport in Bogotá, Colombia, serving specific airlines and routes within the airport’s operations.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8666b14819084374b84b65c6c74 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8405a58819096dc1eeea8fc0b93 completed March 9, 2026, 11 a.m.
Created at: March 4, 2026, 7:37 p.m.