Triple

T8068695
Position Surface form Disambiguated ID Type / Status
Subject ITH E188310 entity
Predicate supportsCommercialFlights P80333 FINISHED
Object yes 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: yes | Statement: [ITH, supportsCommercialFlights, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsCommercialFlights
Context triple: [ITH, supportsCommercialFlights, yes]
  • A. supportsCharterFlights
    Indicates that one entity provides the capability or service of operating or accommodating charter flights for another entity.
  • B. usedForPassengerFlights
    Indicates that something serves as a means or facility for transporting passengers on flights.
  • C. supportsNonSchengenFlights
    Indicates that the subject facility or service is capable of handling or accommodating flights that operate outside the Schengen Area.
  • D. hasTypeOfFlights
    Indicates that an entity offers, includes, or is associated with specific categories or kinds of flights.
  • E. supportsSchengenFlights
    Indicates that an entity enables or accommodates flights operating within the Schengen Area.
  • F. None of above. chosen

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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ffbd59c8190a34398ddb4ee551e completed March 31, 2026, 3:31 a.m.
PD Predicate disambiguation batch_69cb049cd51c8190bb3b0f503e42fa8d completed March 30, 2026, 11:17 p.m.
PDg Predicate description generation batch_69cb14be17208190bb51c3dfcb613f20 completed March 31, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:27 p.m.