Triple

T15543820
Position Surface form Disambiguated ID Type / Status
Subject Bevern E370549 entity
Predicate locatedIn P40 FINISHED
Object Holzminden district E791017 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: Holzminden district | Statement: [Bevern, locatedIn, Holzminden district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holzminden district
Context triple: [Bevern, locatedIn, Holzminden district]
  • A. Holzminden district chosen
    Holzminden district is a rural administrative district in the German state of Lower Saxony, known for its picturesque Weser Uplands landscape and historic towns.
  • B. Kulmbach district
    Kulmbach district is a rural administrative district in northern Bavaria, Germany, known for its brewing tradition and location within the Upper Franconia region.
  • C. Haßberge district
    Haßberge district is a rural administrative district in northern Bavaria, Germany, known for its rolling hills, forests, and historic towns.
  • D. Hildburghausen district
    Hildburghausen district is a rural administrative district in the south of the German state of Thuringia, known for its forests, small towns, and location near the Thuringian Forest.
  • E. Dillingen district
    Dillingen district is an administrative district in the Bavarian region of Swabia in southern Germany, known for its small towns, rural landscapes, and historical sites.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0443410408190a249889edcd9c599 completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4558677881908704ac86c12e1fc4 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:07 a.m.