Triple

T10080854
Position Surface form Disambiguated ID Type / Status
Subject Chapel Bridge E213895 entity
Predicate hasView P854 FINISHED
Object Mount Pilatus E638187 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: Mount Pilatus | Statement: [Chapel Bridge, hasView, Mount Pilatus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Pilatus
Context triple: [Chapel Bridge, hasView, Mount Pilatus]
  • A. Schilthorn
    Schilthorn is a prominent mountain in the Bernese Alps of Switzerland, famed for its panoramic views and the revolving Piz Gloria restaurant featured in a James Bond film.
  • B. Windjoch
    Windjoch is a high mountain pass in the Swiss Alps that serves as the main col between the Nadelhorn and its neighboring peaks.
  • C. Jungfrau
    Jungfrau is a prominent and picturesque mountain peak in the Swiss Alps, renowned for its dramatic scenery and status as part of a UNESCO World Heritage Site.
  • D. Fronalpstock chosen
    Fronalpstock is a prominent mountain in central Switzerland offering panoramic views over Lake Lucerne and the surrounding Alps.
  • E. Klein Matterhorn
    Klein Matterhorn is a high Alpine peak in the Pennine Alps of Switzerland, famous for its cable car access from Zermatt and panoramic views of surrounding mountains including the Matterhorn.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd032ef288190a961d266d9ecafbc completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5755a4081909c582bf16dd285e7 completed April 5, 2026, 10:43 p.m.
Created at: March 30, 2026, 9 p.m.