Triple

T2650062
Position Surface form Disambiguated ID Type / Status
Subject Wildhaus E53874 entity
Predicate hasMountain P10602 FINISHED
Object Hinterrugg E287029 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: Hinterrugg | Statement: [Wildhaus, hasMountain, Hinterrugg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hinterrugg
Context triple: [Wildhaus, hasMountain, Hinterrugg]
  • A. Hinterrugg chosen
    Hinterrugg is a prominent mountain peak in the Churfirsten range of the Swiss Alps, known for its panoramic views over the Walensee and surrounding valleys.
  • B. Halderberge
    Halderberge is a municipality in the Dutch province of North Brabant, known for its historic towns such as Oudenbosch and its mix of rural landscapes and small urban centers.
  • C. Erzhausen
    Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
  • D. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • E. Rednitz
    The Rednitz is a river in Bavaria, Germany, that flows through cities such as Fürth and joins with the Pegnitz to form the Regnitz.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd92f5f508190b4ca396c3f399e93 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf49dc7c8190bebc1c75f6d00ef9 completed March 10, 2026, 5:42 a.m.
Created at: March 6, 2026, 9:53 p.m.