Triple

T19068357
Position Surface form Disambiguated ID Type / Status
Subject Spiralen tunnel and viewpoint E466725 entity
Predicate hasPart P35 FINISHED
Object Spiralen viewpoint 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: Spiralen viewpoint | Statement: [Spiralen tunnel and viewpoint, hasPart, Spiralen viewpoint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spiralen viewpoint
Context triple: [Spiralen tunnel and viewpoint, hasPart, Spiralen viewpoint]
  • A. Spiralen tunnel and viewpoint chosen
    Spiralen tunnel and viewpoint is a helical road tunnel and popular scenic overlook in Drammen, Norway, offering panoramic views of the city and surrounding landscape.
  • B. Spiralling
    "Spiralling" is a song by the English alternative rock band Keane, known for its upbeat, synth-driven sound and departure from their earlier piano-rock style.
  • C. Spiral
    "Spiral" is a notable work by filmmaker Mark Burg, best known as a producer in the horror and thriller genres.
  • D. Spiral
    Spiral is a distinctive modern architectural complex in Tokyo’s Aoyama district known for its spiral ramp design and role as a cultural and commercial hub.
  • E. Spiral
    "Spiral" is a track by the progressive metal band Awake, known for its intricate musicianship and dynamic, atmospheric sound.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e19b94d08190865b62d98f718bb0 completed April 20, 2026, 8:19 a.m.
Created at: April 10, 2026, 12:03 p.m.