Triple

T10412831
Position Surface form Disambiguated ID Type / Status
Subject DLH E245434 entity
Predicate associatedWithSecondaryHubAirport P40597 FINISHED
Object Munich Airport E117566 NE FINISHED

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: Munich Airport | Statement: [DLH, associatedWithSecondaryHubAirport, Munich Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Munich Airport
Context triple: [DLH, associatedWithSecondaryHubAirport, Munich Airport]
  • A. Munich Airport chosen
    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.
  • B. Nuremberg Airport
    Nuremberg Airport is an international airport in northern Bavaria, Germany, serving the city of Nuremberg and the surrounding Franconia region with passenger and cargo flights.
  • C. Frankfurt Airport
    Frankfurt Airport is one of Europe’s busiest international aviation hubs, serving as a major global gateway and primary airport for the city of Frankfurt am Main in Germany.
  • D. Hamburg Airport
    Hamburg Airport is an international airport in northern Germany serving the city of Hamburg and the surrounding region as a major passenger and cargo hub.
  • E. Stuttgart Airport
    Stuttgart Airport is the international airport serving the city of Stuttgart in southwestern Germany, handling both passenger and cargo traffic for the region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithSecondaryHubAirport
Context triple: [DLH, associatedWithSecondaryHubAirport, Munich Airport]
  • A. operatorSecondaryHubAirportIATA
    Indicates the IATA airport code of a secondary hub airport used by the operator.
  • B. hasSecondaryAirport chosen
    Indicates that an entity is associated with an additional, typically smaller or alternative, airport beyond its primary one.
  • C. associatedWithAirportCode
    Indicates that one entity has a relationship or connection to an airport identified by a specific airport code.
  • D. associatedAirport
    Indicates a relationship where an entity is linked or connected to a specific airport, typically as its relevant or corresponding airport.
  • E. associatedWithAirportName
    Indicates a relationship where an entity is linked or connected to a specific airport by its name.
  • F. None of above.

Provenance (4 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea0e17f081908fb16425f65e5808 completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d90d92510481909135a75b2f582795 completed April 10, 2026, 2:47 p.m.
PD Predicate disambiguation batch_69d4dfb6f160819090040644a12395ec completed April 7, 2026, 10:43 a.m.
Created at: April 6, 2026, 12:10 p.m.