Triple

T6726888
Position Surface form Disambiguated ID Type / Status
Subject Grand Combin E153538 entity
Predicate hasSummit P8024 FINISHED
Object Combin de Valsorey E614658 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: Combin de Valsorey | Statement: [Grand Combin, hasSummit, Combin de Valsorey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Combin de Valsorey
Context triple: [Grand Combin, hasSummit, Combin de Valsorey]
  • A. Combin de Valsorey chosen
    Combin de Valsorey is a prominent subsidiary summit of the Grand Combin massif in the Pennine Alps of western Switzerland.
  • B. Sorèze
    Sorèze is a historic village in southern France known for its former royal military school and its picturesque setting near the Montagne Noire and the Canal du Midi’s water supply works.
  • C. Vallauris
    Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
  • D. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • E. Chamrousse
    Chamrousse is a French alpine ski resort and mountain commune in the Alps, known for its winter sports facilities and scenic high-altitude landscapes.
  • 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_69c6880afb988190ad88011b48ecfcba completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d152a4908190a041f2049240e7ca completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70afea37881909a4fdce4b3229e38 completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 2:08 p.m.