Triple

T11407923
Position Surface form Disambiguated ID Type / Status
Subject Briançonnais area E270286 entity
Predicate hasSkiResort P1981 FINISHED
Object Risoul E429937 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: Risoul | Statement: [Briançonnais area, hasSkiResort, Risoul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Risoul
Context triple: [Briançonnais area, hasSkiResort, Risoul]
  • A. Risoul chosen
    Risoul is a French alpine ski resort and commune known for its extensive slopes and scenic location in the southern Alps.
  • B. Shinrone
    Shinrone is a small village in County Offaly, Ireland, known for its rural character and historic parish community.
  • C. Shinkiari
    Shinkiari is a town in Pakistan’s Khyber Pakhtunkhwa province, known for its agricultural surroundings and its location along the Karakoram Highway near Mansehra.
  • D. Rinshi
    Rinshi was a noblewoman of Japan’s Heian period and the principal wife of the powerful court regent Fujiwara no Michinaga.
  • E. Hizaori
    Hizaori is the former name of Asaka, a city located in Saitama Prefecture, Japan.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8014e72748190a01bde2f0105cedb completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58d6eea4c81908319a590d2d9e177 completed April 20, 2026, 2:20 a.m.
Created at: April 8, 2026, 9:34 p.m.