Triple

T7295873
Position Surface form Disambiguated ID Type / Status
Subject Heidekreis E164519 entity
Predicate formerName P65 FINISHED
Object Soltau-Fallingbostel E430089 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: Soltau-Fallingbostel | Statement: [Heidekreis, formerName, Soltau-Fallingbostel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soltau-Fallingbostel
Context triple: [Heidekreis, formerName, Soltau-Fallingbostel]
  • A. Fallingbostel chosen
    Fallingbostel is a town in Lower Saxony, Germany, historically known for its military installations and role as a British Army garrison location after World War II.
  • B. Breckerfeld
    Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
  • C. Barsinghausen
    Barsinghausen is a town in Lower Saxony, Germany, located near Hanover and known historically for its mining industry and proximity to the Deister hills.
  • D. Fallersleben
    Fallersleben is a district of Wolfsburg in Lower Saxony, Germany, historically known as the birthplace of poet August Heinrich Hoffmann von Fallersleben.
  • E. Goldenstedt
    Goldenstedt is a municipality in Lower Saxony, Germany, known for its rural character and location within the District of Vechta.
  • 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_69c6887a499881909dd23341399c59d8 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb8d0c6c8190b32cd08b9a5d96cc completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e547c7b88190b792495efb3a215c completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 3 p.m.