Triple

T6726889
Position Surface form Disambiguated ID Type / Status
Subject Grand Combin E153538 entity
Predicate hasSummit P8024 FINISHED
Object Combin de la Tsessette E614659 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 la Tsessette | Statement: [Grand Combin, hasSummit, Combin de la Tsessette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Combin de la Tsessette
Context triple: [Grand Combin, hasSummit, Combin de la Tsessette]
  • A. Combin de la Tsessette chosen
    Combin de la Tsessette is a prominent subsidiary summit of the Grand Combin massif in the Pennine Alps of western Switzerland.
  • B. La Sablonière
    La Sablonière is one of the small islets within the Les Écréhous reef and island group off the coast of Jersey in the Channel Islands.
  • C. La Tzoumaz
    La Tzoumaz is a Swiss alpine village and ski resort in the 4 Vallées region, known for its family-friendly slopes and access to extensive interconnected ski terrain.
  • D. La Comtoise
    La Comtoise is a major French motorway (the A36) that links the regions of Burgundy and Franche-Comté, serving as an important east–west route in eastern France.
  • E. Les Milles
    Les Milles is a French historical drama film centered on World War II-era events at an internment camp in southern France.
  • 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.