Triple

T21298556
Position Surface form Disambiguated ID Type / Status
Subject Bregenz Forest Mountains E524992 entity
Predicate hasSettlement P1068 FINISHED
Object Schwarzenberg 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: Schwarzenberg | Statement: [Bregenz Forest Mountains, hasSettlement, Schwarzenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwarzenberg
Context triple: [Bregenz Forest Mountains, hasSettlement, Schwarzenberg]
  • A. Schwarzenberg
    Schwarzenberg is the noble family name of a prominent Central European princely house historically influential in Austrian and Bohemian politics and military affairs.
  • B. Schwarzenberg chosen
    Schwarzenberg is a locality situated within Germany’s Murgtal valley region.
  • C. Schwarzenburg
    Schwarzenburg is a municipality in the canton of Bern, Switzerland, known for its rural character and location in the Sense district southwest of the city of Bern.
  • D. Senftenberg
    Senftenberg is a town in eastern Germany known for its lakeside recreation area and former lignite mining sites, located in the federal state of Brandenburg.
  • E. Schwarzberg
    Schwarzberg is a German-language surname and place name that may refer to various individuals or locations in German-speaking regions.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385a24d08190bfd410c7f10fa6f7 completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:04 p.m.