Triple

T14930224
Position Surface form Disambiguated ID Type / Status
Subject Berlin Schönefeld Airport E372240 entity
Predicate closedForPassengerFlights P10433 FINISHED
Object 2020 LITERAL 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: 2020 | Statement: [Berlin Schönefeld Airport, closedForPassengerFlights, 2020]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: closedForPassengerFlights
Context triple: [Berlin Schönefeld Airport, closedForPassengerFlights, 2020]
  • A. closedForPassengers chosen
    Indicates that a transportation facility or vehicle is not available for use by passengers.
  • B. closedForFlightOperations
    Indicates that a location, facility, or area is temporarily unavailable or prohibited for conducting flight operations.
  • C. openedToPassengerTraffic
    Indicates that a transportation facility or route began operating and accepting passengers for regular use.
  • D. usedForPassengerFlights
    Indicates that something serves as a means or facility for transporting passengers on flights.
  • E. supportsNonSchengenFlights
    Indicates that the subject facility or service is capable of handling or accommodating flights that operate outside the Schengen Area.
  • F. None of above.

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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded64550dc8190ba44120df00ba498 completed April 15, 2026, 12:05 a.m.
PD Predicate disambiguation batch_69de9a52ba988190a26e268b4ea083ea completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:36 a.m.