Triple

T21947349
Position Surface form Disambiguated ID Type / Status
Subject Merkurbergbahn funicular E541967 entity
Predicate locatedOn P40 FINISHED
Object Merkur mountain 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: Merkur mountain | Statement: [Merkurbergbahn funicular, locatedOn, Merkur mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merkur mountain
Context triple: [Merkurbergbahn funicular, locatedOn, Merkur mountain]
  • A. Merkur Mountain chosen
    Merkur Mountain is a prominent wooded peak in Germany’s Northern Black Forest, known for its scenic views, hiking trails, and historic funicular railway.
  • B. Uranius Mons
    Uranius Mons is a large volcanic mountain on Mars, located in the Tharsis region and associated with the planet’s extensive volcanic plateau.
  • C. Libya Montes
    Libya Montes is a rugged mountainous region on Mars located along the southeastern rim of the Isidis impact basin.
  • D. Santa Maria Rupes
    Santa Maria Rupes is a prominent tectonic scarp on the surface of the planet Mercury, formed by the planet’s crust contracting and thrusting over itself.
  • E. Alba Mons
    Alba Mons is a vast, low-relief shield volcano on Mars, notable for being one of the largest volcanic edifices in the Solar System by area.
  • 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_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.