Triple

T16482413
Position Surface form Disambiguated ID Type / Status
Subject Heidiland E400352 entity
Predicate hasAttraction P105 FINISHED
Object Pizol E411751 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: Pizol | Statement: [Heidiland, hasAttraction, Pizol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pizol
Context triple: [Heidiland, hasAttraction, Pizol]
  • A. Pizol mountain chosen
    Pizol mountain is a popular peak in the Glarus Alps of northeastern Switzerland, known for its hiking, skiing, and scenic alpine landscapes.
  • B. Champoluc
    Champoluc is an Italian Alpine village in the Aosta Valley known as a major ski and mountain resort within the Monterosa massif.
  • C. Nendaz
    Nendaz is a Swiss Alpine resort village in the canton of Valais, known for its skiing, hiking, and access to the extensive 4 Vallées ski domain.
  • D. Meglisalp
    Meglisalp is a small, picturesque alpine settlement and hiking destination in the Swiss Alpstein mountains, known for its traditional mountain huts and scenic surroundings.
  • E. La Rosière
    La Rosière is a French Alpine ski resort in the Savoie region, known for its sunny slopes and cross-border ski area linked with La Thuile in Italy.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e03643881908b16ddb9004af5d0 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0084aa47408190abe2ffaab84cdd85 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:13 a.m.