Triple

T23501227
Position Surface form Disambiguated ID Type / Status
Subject Western Alps E571847 entity
Predicate majorSkiResortArea P128646 FINISHED
Object Paradiski 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: Paradiski | Statement: [Western Alps, majorSkiResortArea, Paradiski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paradiski
Context triple: [Western Alps, majorSkiResortArea, Paradiski]
  • A. Paradiski chosen
    Paradiski is a major interconnected ski area in the French Alps that links several large resorts, including Les Arcs and La Plagne, into one extensive winter sports domain.
  • B. Parachi
    Parachi is a lesser-known Eastern Iranian language spoken by a small community in parts of Afghanistan.
  • C. Dompe
    Dompe is a town and divisional administrative area in Sri Lanka’s Western Province, situated within the Gampaha District.
  • D. Digras
    Digras is a town in the Yavatmal district of Maharashtra, India, known for its agrarian economy and role as a local commercial center.
  • E. Malcantone
    Malcantone is a picturesque hilly region in the Swiss canton of Ticino, known for its chestnut forests, traditional villages, and scenic hiking trails near the Italian border.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a8fc37908190af86a01ab85737d6 completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:06 p.m.