Triple

T22415447
Position Surface form Disambiguated ID Type / Status
Subject Efteling E554110 entity
Predicate hasAttraction P105 FINISHED
Object Droomvlucht NE NERFINISHED

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: Droomvlucht | Statement: [Efteling, hasAttraction, Droomvlucht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Droomvlucht
Context triple: [Efteling, hasAttraction, Droomvlucht]
  • A. Droomvlucht chosen
    Droomvlucht is a popular dark ride in the Efteling theme park in the Netherlands that takes visitors on a dreamy journey through enchanting fairy-tale and fantasy scenes.
  • B. Drachtstervaart
    Drachtstervaart is a canal in the Dutch town of Drachten that serves as an important local waterway for transport and recreation.
  • C. De vlieger
    De vlieger is a novel by Dutch author Maarten ’t Hart, known for its psychologically rich storytelling and exploration of human relationships.
  • D. The Flight
    The Flight is a musical duo known for composing the atmospheric and cinematic soundtrack for the video game Horizon Zero Dawn.
  • E. The Flight
    "The Flight" is a poem that reflects the classical, muse-inspired themes and contemplative style characteristic of the collection *To Urania*.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1594615f881909688b02548ee83eb completed April 29, 2026, 1:05 a.m.
Created at: April 16, 2026, 8:46 p.m.