Triple

T17826801
Position Surface form Disambiguated ID Type / Status
Subject Collombey-Muraz E445138 entity
Predicate borders P224 FINISHED
Object Troistorrents 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: Troistorrents | Statement: [Collombey-Muraz, borders, Troistorrents]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Troistorrents
Context triple: [Collombey-Muraz, borders, Troistorrents]
  • A. Troistorrents chosen
    Troistorrents is a municipality in the district of Monthey in the canton of Valais in southwestern Switzerland, known for its Alpine setting and proximity to ski resorts.
  • B. HDtracks
    HDtracks is a high-resolution digital music download store known for offering audiophile-quality albums in lossless formats.
  • C. SVT Play
    SVT Play is Sweden’s national public service broadcaster’s online streaming platform, offering on-demand and live TV content.
  • D. Lovefilm
    Lovefilm is a 1970 Hungarian drama film directed by István Szabó that explores memory, love, and the impact of war on personal relationships.
  • E. Vudu
    Vudu is a digital video-on-demand and streaming service that offers movie and TV rentals, purchases, and ad-supported viewing.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48914e20481908883d1da194f446c completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.