Triple

T20563236
Position Surface form Disambiguated ID Type / Status
Subject Terminal 2 (Munich Airport) E504896 entity
Predicate connectedTo P37 FINISHED
Object Terminal 1 (Munich Airport) 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 1 (Munich Airport) | Statement: [Terminal 2 (Munich Airport), connectedTo, Terminal 1 (Munich Airport)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal 1 (Munich Airport)
Context triple: [Terminal 2 (Munich Airport), connectedTo, Terminal 1 (Munich Airport)]
  • A. Terminal 1 (Frankfurt Airport)
    Terminal 1 at Frankfurt Airport is the airport’s largest and oldest terminal, serving as a major hub for Lufthansa and Star Alliance carriers with extensive international and domestic flight operations.
  • B. Terminal 1 (Hamburg Airport)
    Terminal 1 at Hamburg Airport is a modern passenger terminal handling check-in, security, and boarding operations for various airlines at the international airport serving Hamburg, Germany.
  • C. Terminal 1 of Berlin Brandenburg Airport
    Terminal 1 of Berlin Brandenburg Airport is the airport’s main passenger terminal, housing the primary check-in, security, and boarding facilities for most airlines and flights.
  • D. Terminal 2 of Berlin Brandenburg Airport
    Terminal 2 of Berlin Brandenburg Airport is a passenger terminal facility designed to handle additional low-cost and leisure airline traffic alongside the airport’s main Terminal 1 complex.
  • E. Munich Airport
    Munich Airport is a major international aviation hub in Bavaria, Germany, serving as one of the country’s busiest airports and a key base for Lufthansa.
  • 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 1 (Munich Airport)
Target entity description: Terminal 1 at Munich Airport is one of the airport’s main passenger terminals, handling a wide range of airlines and flights with its own check-in, security, and boarding facilities.
  • A. Terminal 1 (Frankfurt Airport)
    Terminal 1 at Frankfurt Airport is the airport’s largest and oldest terminal, serving as a major hub for Lufthansa and Star Alliance carriers with extensive international and domestic flight operations.
  • B. Terminal 1 (Hamburg Airport)
    Terminal 1 at Hamburg Airport is a modern passenger terminal handling check-in, security, and boarding operations for various airlines at the international airport serving Hamburg, Germany.
  • C. Terminal 1 of Berlin Brandenburg Airport
    Terminal 1 of Berlin Brandenburg Airport is the airport’s main passenger terminal, housing the primary check-in, security, and boarding facilities for most airlines and flights.
  • D. Terminal 2 of Berlin Brandenburg Airport
    Terminal 2 of Berlin Brandenburg Airport is a passenger terminal facility designed to handle additional low-cost and leisure airline traffic alongside the airport’s main Terminal 1 complex.
  • E. Munich Airport
    Munich Airport is a major international aviation hub in Bavaria, Germany, serving as one of the country’s busiest airports and a key base for Lufthansa.
  • F. None of above. 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a0a0488190a534050b40ff47da completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.