Triple

T5058790
Position Surface form Disambiguated ID Type / Status
Subject Monterosa Ski E113972 entity
Predicate hasResort P4287 FINISHED
Object Gressoney-Saint-Jean E420761 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: Gressoney-Saint-Jean | Statement: [Monterosa Ski, hasResort, Gressoney-Saint-Jean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gressoney-Saint-Jean
Context triple: [Monterosa Ski, hasResort, Gressoney-Saint-Jean]
  • A. Gueugnon
    Gueugnon is a small commune in eastern France known historically for its steel industry and location in the Bourgogne-Franche-Comté region.
  • B. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • C. Gressoney-La-Trinité chosen
    Gressoney-La-Trinité is a high-altitude Alpine village and ski resort in Italy’s Aosta Valley, known for mountaineering access to Monte Rosa and its traditional Walser culture.
  • D. Pontarlier
    Pontarlier is a historic town in eastern France near the Swiss border, known for its role in the absinthe industry and its location in the Jura Mountains.
  • E. Saint-Véran
    Saint-Véran is a French wine appellation in southern Burgundy known for its high-quality Chardonnay-based white wines.
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74523434819092b8b15992073b5b completed March 20, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf9535f8008190b91cf823e9484b4e completed March 22, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:38 p.m.