Triple

T19417048
Position Surface form Disambiguated ID Type / Status
Subject Pinzgau E485747 entity
Predicate mountainRange P648 FINISHED
Object Steinernes Meer 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: Steinernes Meer | Statement: [Pinzgau, mountainRange, Steinernes Meer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steinernes Meer
Context triple: [Pinzgau, mountainRange, Steinernes Meer]
  • A. Steinernes Meer chosen
    Steinernes Meer is a high-altitude limestone plateau in the Northern Limestone Alps, known for its karst landscape and extensive hiking and climbing routes.
  • B. Der Silbersee
    Der Silbersee is a 1933 German stage work by Kurt Weill and Georg Kaiser that blends elements of play and musical score to deliver a politically charged, satirical parable set during the Weimar Republic.
  • C. Am Meer
    "Am Meer" is a German art song composed by Franz Schubert, best known as one of the settings in his posthumously published song cycle "Schwanengesang."
  • D. Rot am See
    Rot am See is a small rural municipality in the German state of Baden-Württemberg, known for its location in the Hohenlohe region and its traditional Swabian character.
  • E. Fonte das Lágrimas
    Fonte das Lágrimas is a historic fountain in Coimbra, Portugal, romantically associated with the tragic medieval love story of Pedro and Inês de Castro.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62afad8d881908f1de6324e55d2f6 completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.