Triple

T15014340
Position Surface form Disambiguated ID Type / Status
Subject Molde Municipality E377918 entity
Predicate hasAttraction P105 FINISHED
Object Varden viewpoint E370156 NE 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: Varden viewpoint | Statement: [Molde Municipality, hasAttraction, Varden viewpoint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varden viewpoint
Context triple: [Molde Municipality, hasAttraction, Varden viewpoint]
  • A. Varden viewpoint chosen
    Varden viewpoint is a popular scenic overlook near Molde, Norway, known for its panoramic views of the town, fjord, and surrounding mountains.
  • B. Aksla viewpoint
    Aksla viewpoint is a popular scenic overlook in Ålesund, Norway, offering panoramic views of the town, surrounding islands, and fjords.
  • C. Barachukki viewpoint
    Barachukki viewpoint is a popular scenic overlook in Karnataka, India, offering panoramic views of the Barachukki segment of the Shivanasamudra Falls.
  • D. Hvězda viewpoint
    Hvězda viewpoint is a popular scenic overlook in the Broumov Walls offering panoramic views of the surrounding sandstone formations and countryside.
  • E. Vierseenblick viewpoint
    Vierseenblick viewpoint is a scenic lookout near Boppard, Germany, famous for its panoramic views over four apparent sections of the Rhine River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7623c3c819092ca36b358b01842 completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96aa3c888190a65e7b3c3b130131 completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:55 a.m.