Triple

T17475016
Position Surface form Disambiguated ID Type / Status
Subject Wengernalp Railway E425515 entity
Predicate connectsAt P1139 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: [Wengernalp Railway, connectsAt, Grindelwald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grindelwald
Context triple: [Wengernalp Railway, connectsAt, 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451baa7b0819092035fec42305397 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.