Triple

T22789490
Position Surface form Disambiguated ID Type / Status
Subject Olpe (district) E564068 entity
Predicate contains P35 FINISHED
Object Finnentrop 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: Finnentrop | Statement: [Olpe (district), contains, Finnentrop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Finnentrop
Context triple: [Olpe (district), contains, Finnentrop]
  • A. Finnentrop chosen
    Finnentrop is a municipality in western Germany known for its location in the Sauerland region of North Rhine-Westphalia and its mix of rural landscapes and industrial activity.
  • B. Fjeldstad
    Fjeldstad is a Norwegian surname most notably associated with conductor and violinist Øivin Fjeldstad.
  • C. Fjelstrup
    Fjelstrup is a village in Southern Denmark located within Haderslev Municipality, known for its rural setting and traditional Danish countryside character.
  • D. Finnås
    Finnås is a village and former church-centered parish on the island municipality of Bømlo in Vestland county, Norway.
  • E. Furuset
    Furuset is a residential neighborhood in the eastern part of Oslo, Norway, known for its multicultural population and large housing estates.
  • 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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c3488708190812f7d2edac92184 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:29 p.m.