Triple

T18345555
Position Surface form Disambiguated ID Type / Status
Subject Mittelhorn E439526 entity
Predicate near P350 FINISHED
Object Grindelwald 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: Grindelwald | Statement: [Mittelhorn, near, Grindelwald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grindelwald
Context triple: [Mittelhorn, near, Grindelwald]
  • A. Grindelwald chosen
    Grindelwald is a Swiss mountain village and popular alpine resort known for its dramatic scenery, skiing, and hiking in the Bernese Oberland region.
  • B. Glaramara
    Glaramara is a prominent fell in England’s Lake District, known for its rugged ridges and extensive views over Borrowdale.
  • C. Nottwil
    Nottwil is a Swiss municipality in the canton of Lucerne, known for its lakeside location and the Swiss Paraplegic Centre.
  • D. Scarbantia
    Scarbantia was an important Roman-era town located in the province of Pannonia Superior, on the site of modern-day Sopron in western Hungary.
  • E. C’Thun
    C’Thun is a powerful Old God-themed legendary card in Hearthstone, known for its scaling battlecry that deals massive damage based on how much it has been buffed during the game.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f3bb888190bdeea4c4d114a43b completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 10:37 a.m.