Triple

T21299557
Position Surface form Disambiguated ID Type / Status
Subject Helmut Poppendick E525018 entity
Predicate placeOfBirth P1 FINISHED
Object Hude 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: Hude | Statement: [Helmut Poppendick, placeOfBirth, Hude]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hude
Context triple: [Helmut Poppendick, placeOfBirth, Hude]
  • A. Hude chosen
    Hude is a municipality in Lower Saxony, Germany, situated between Oldenburg and Bremen and known for its rural character and historic monastery ruins.
  • B. Hudde
    Hudde is a Dutch surname most notably associated with Johannes Hudde, a 17th-century mathematician and mayor of Amsterdam known for his contributions to algebra and optics.
  • C. Huebra
    The Huebra is a river in western Spain that flows through the provinces of Salamanca and Cáceres before joining the Duero.
  • D. Hoodi
    Hoodi is a rapidly developing suburban neighborhood in eastern Bengaluru, India, known for its residential complexes, tech parks, and proximity to major IT hubs.
  • E. Heden
    Heden is a central district in Gothenburg, Sweden, known for its sports facilities, event venues, and open recreational spaces.
  • 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_69e7385b1c548190b940ded0163ee3ca completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:05 p.m.