Triple

T35695816
Position Surface form Disambiguated ID Type / Status
Subject Båtsfjord Airport E1031435 entity
Predicate supportsMailServices P164762 FINISHED
Object true 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: true | Statement: [Båtsfjord Airport, supportsMailServices, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsMailServices
Context triple: [Båtsfjord Airport, supportsMailServices, true]
  • A. hasMailServices chosen
    Indicates that an entity provides or supports mail-related services, such as sending, receiving, or handling postal or electronic mail.
  • B. supportsPushEmail
    Indicates that one entity provides or enables automatic, real-time delivery of email (push email) to another entity.
  • C. supportsUserServices
    Indicates that one entity provides the necessary functionality or resources for user-facing services to operate or be delivered.
  • D. supportsMailFlights
    Indicates that one entity provides the necessary facilities or services for mail-carrying flights to operate to or from another entity.
  • E. hasSupportService
    Indicates that one entity provides or is associated with a support-related service for another entity.
  • 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_69f76e0c73ec819080ab60a9e2f5f1f6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a037c8d06cc8190ab6a5e18d9d2571e completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a04d8348190a4819666eab42c9b completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:05 p.m.