Triple

T21947322
Position Surface form Disambiguated ID Type / Status
Subject Merkur Mountain E541966 entity
Predicate hasLanguageVariantName P15 FINISHED
Object Merkurberg NE NERFINISHED

How this triple was built (3 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: Merkurberg | Statement: [Merkur Mountain, hasLanguageVariantName, Merkurberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merkurberg
Context triple: [Merkur Mountain, hasLanguageVariantName, Merkurberg]
  • A. Landensberg
    Landensberg is a small municipality in the Bavarian region of southern Germany.
  • B. Mühleberg
    Mühleberg is a municipality in the canton of Bern, Switzerland, known for its former nuclear power plant and its location along the Aare River.
  • C. Ausserberg
    Ausserberg is a small Swiss mountain village and municipality in the canton of Valais, known for its scenic alpine setting and traditional rural character.
  • D. Weisselberg
    Weisselberg is a surname most prominently associated with Allen Weisselberg, the longtime chief financial officer of the Trump Organization.
  • E. Belpberg
    Belpberg is a small former municipality in the canton of Bern, Switzerland, situated on a plateau above the Gürbetal valley and known for its rural, scenic landscape.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Merkurberg
Target entity description: Merkurberg is the German name for Merkur Mountain, a prominent hill and lookout point near Baden-Baden in southwestern Germany known for its scenic views and recreational facilities.
  • A. Landensberg
    Landensberg is a small municipality in the Bavarian region of southern Germany.
  • B. Mühleberg
    Mühleberg is a municipality in the canton of Bern, Switzerland, known for its former nuclear power plant and its location along the Aare River.
  • C. Ausserberg
    Ausserberg is a small Swiss mountain village and municipality in the canton of Valais, known for its scenic alpine setting and traditional rural character.
  • D. Weisselberg
    Weisselberg is a surname most prominently associated with Allen Weisselberg, the longtime chief financial officer of the Trump Organization.
  • E. Belpberg
    Belpberg is a small former municipality in the canton of Bern, Switzerland, situated on a plateau above the Gürbetal valley and known for its rural, scenic landscape.
  • F. None of above. chosen

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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12428dee48190acb63051ed7cd03e completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:57 p.m.