Triple

T13208511
Position Surface form Disambiguated ID Type / Status
Subject Harz National Park E314425 entity
Predicate nearbyCity P350 FINISHED
Object Sankt Andreasberg E79399 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: Sankt Andreasberg | Statement: [Harz National Park, nearbyCity, Sankt Andreasberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sankt Andreasberg
Context triple: [Harz National Park, nearbyCity, Sankt Andreasberg]
  • A. Sankt Andreasberg chosen
    Sankt Andreasberg is a historic former mining town and popular mountain resort in the Upper Harz region of central Germany.
  • B. Wilseder Berg
    Wilseder Berg is a prominent hill and popular viewpoint in northern Germany, known for its scenic heathland landscapes within the Lüneburg Heath region.
  • C. Altlandsberg
    Altlandsberg is a small historic town in the Märkisch-Oderland district of Brandenburg, Germany, located just east of Berlin.
  • D. Deutschlandsberg
    Deutschlandsberg is a small Austrian town in the southwest of the state of Styria, known for its surrounding vineyards, castle, and scenic hilly landscape.
  • E. Festungsberg
    Festungsberg is a prominent hill in Salzburg, Austria, best known as the site of the medieval Hohensalzburg Fortress overlooking the city.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9cb7ac819095cff8699993c419 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f611b11c8190b9f89313eb2b5fab completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:17 p.m.