Triple

T16542751
Position Surface form Disambiguated ID Type / Status
Subject Belchenbahn cable car E401859 entity
Predicate locatedIn P40 FINISHED
Object Belchen mountain E92174 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: Belchen mountain | Statement: [Belchenbahn cable car, locatedIn, Belchen mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belchen mountain
Context triple: [Belchenbahn cable car, locatedIn, Belchen mountain]
  • A. Belchen chosen
    Belchen is a prominent mountain in southwestern Germany known for its panoramic views and significance within the Black Forest region.
  • B. Kohnstein mountain
    Kohnstein mountain is a limestone hill in central Germany that became infamous as the site of the Nazi underground Mittelwerk facility used for V-2 rocket production during World War II.
  • C. Gaisberg mountain
    Gaisberg mountain is a prominent peak in the Northern Limestone Alps near Salzburg, Austria, known for its panoramic views, hiking trails, and popular lookout points.
  • D. Wendelstein mountain
    Wendelstein mountain is a prominent peak in the Bavarian Alps of southern Germany, known for its panoramic views, observatory, and historic cogwheel railway.
  • E. Mallendarer Berg
    Mallendarer Berg is a residential district of the town of Vallendar in the German state of Rhineland-Palatinate.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3455db6788190b929546050ea2488 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b0e5708190a286b8a316d6efd2 completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.