Triple

T12551066
Position Surface form Disambiguated ID Type / Status
Subject Platz der Luftbrücke U-Bahn station E300095 entity
Predicate formerName P65 FINISHED
Object Flughafen E94560 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: Flughafen | Statement: [Platz der Luftbrücke U-Bahn station, formerName, Flughafen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flughafen
Context triple: [Platz der Luftbrücke U-Bahn station, formerName, Flughafen]
  • A. Flughafen chosen
    Flughafen is the Nuremberg U-Bahn station that serves Nuremberg Airport, providing direct metro access between the airport and the city.
  • B. Aeroport
    Aeroport is a Moscow Metro station on the Zamoskvoretskaya Line, named after the nearby Khodynka Aerodrome area.
  • C. Aktion National Airport
    Aktion National Airport is a regional Greek airport serving the island of Lefkada and the nearby western mainland, handling mainly seasonal tourist traffic.
  • D. HEF Airport
    HEF Airport is the regional public airport serving Manassas, Virginia, handling general aviation and some corporate and charter traffic for the Washington, D.C. metropolitan area.
  • E. El Embrujo Airport
    El Embrujo Airport is a small regional airport serving the island of Providencia in Colombia’s Caribbean San Andrés and Providencia Department.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95482c1348190b6f964decef5cc0a completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655853ecc8190b178a489d806a0c4 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:58 p.m.