Triple

T20272829
Position Surface form Disambiguated ID Type / Status
Subject EDDM E502932 entity
Predicate hasTerminal P182 FINISHED
Object Terminal 2 — NE NERFINISHED

How this triple was built (3 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: [EDDM, hasTerminal, Terminal 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Terminal 2
Context triple: [EDDM, hasTerminal, Terminal 2]
  • A. Terminal 2
    Terminal 2 is one of the passenger terminals at Chicago O'Hare International Airport, serving various domestic and regional flights with multiple concourses and airline operations.
  • B. Terminal 2
    Terminal 2 is one of the passenger terminals at Marseille Provence Airport, serving travelers with check-in, boarding, and arrival facilities.
  • C. Terminal 2
    Terminal 2 is one of the main passenger terminals at Hazrat Shahjalal International Airport in Dhaka, Bangladesh, handling a significant share of the airport’s domestic and international flight operations.
  • D. Terminal 2
    Terminal 2 is a major passenger terminal at Changsha Huanghua International Airport, serving as one of the airport’s primary facilities for domestic and international flights.
  • E. Terminal 2
    Terminal 2 is one of the passenger terminals serving Iași International Airport in Romania, handling check-in, departures, and arrivals for commercial flights.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Terminal 2
Target entity description: Terminal 2 is one of the passenger terminals at Munich Airport, serving as a major hub facility for airlines and travelers.
  • A. Terminal 2 chosen
    Terminal 2 is a major passenger terminal at Munich Airport, primarily serving Lufthansa and its Star Alliance partners with modern facilities and efficient transfer connections.
  • B. Terminal 2
    Terminal 2 is one of the main passenger terminals at Frankfurt Airport, serving numerous international airlines and handling a significant share of the airport’s global traffic.
  • C. Terminal 2
    Terminal 2 is one of the passenger terminals at Stuttgart Airport in Germany, serving airline check-in, departures, and arrivals.
  • D. Terminal 2
    Terminal 2 is one of the main passenger terminals at Vienna International Airport, serving as a hub for check-in, security, and boarding operations for various airlines.
  • E. Terminal 2
    Terminal 2 is one of the main passenger terminals at Hamburg Airport, handling check-in, security, and boarding for various domestic and international flights.
  • F. None of above.

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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e675dff3c4819098ba45eba4e7b296 completed April 20, 2026, 6:52 p.m.
Created at: April 16, 2026, 10:15 a.m.