Triple

T3688957
Position Surface form Disambiguated ID Type / Status
Subject Innerste E78296 entity
Predicate passesThrough P225 FINISHED
Object Goslar district E51097 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: Goslar district | Statement: [Innerste, passesThrough, Goslar district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goslar district
Context triple: [Innerste, passesThrough, Goslar district]
  • A. Goslar chosen
    Goslar is a historic German town at the foot of the Harz Mountains, renowned for its well-preserved medieval old town and former silver mines, both recognized as UNESCO World Heritage Sites.
  • B. Osnabrück district
    Osnabrück district is a rural administrative district in the German state of Lower Saxony surrounding the independent city of Osnabrück.
  • C. Waldeck-Frankenberg district
    Waldeck-Frankenberg district is a rural administrative district in northern Hesse, Germany, known for its reservoirs, natural landscapes, and historic towns.
  • D. Wittmund district
    Wittmund district is a rural administrative district in Lower Saxony, Germany, located on the North Sea coast and encompassing part of the East Frisian region.
  • E. Arnsberg region
    The Arnsberg region is an administrative district in the German state of North Rhine-Westphalia, encompassing several cities and towns in the eastern Ruhr and surrounding areas.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4c960788190b73ede08658846aa completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb02366881909d984b54bfc571e9 completed March 14, 2026, 6:06 a.m.
Created at: March 8, 2026, 3:26 p.m.