Triple

T4295787
Position Surface form Disambiguated ID Type / Status
Subject Brünig Pass E99707 entity
Predicate nearbySettlement P350 FINISHED
Object Meiringen E312759 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: Meiringen | Statement: [Brünig Pass, nearbySettlement, Meiringen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meiringen
Context triple: [Brünig Pass, nearbySettlement, Meiringen]
  • A. Meiringen chosen
    Meiringen is a Swiss alpine town in the Bernese Oberland, known for its dramatic mountain scenery, Reichenbach Falls, and association with Sherlock Holmes.
  • B. Gimmelwald
    Gimmelwald is a small, traditional Swiss alpine village known for its dramatic mountain scenery and tranquil, car-free atmosphere in the Bernese Oberland.
  • C. Kiental
    Kiental is a picturesque alpine valley and village in the Bernese Oberland region of Switzerland, known for its dramatic mountain scenery and hiking opportunities.
  • D. Oberwald
    Oberwald is a Swiss alpine village in the canton of Valais, known as a gateway to high mountain passes and scenic railway routes in the upper Rhône valley.
  • E. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35085b864819086cf726285384566 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6721dcf28819080b6a265152059e9 completed March 15, 2026, 8:47 a.m.
Created at: March 12, 2026, 11:08 p.m.