Triple

T11269692
Position Surface form Disambiguated ID Type / Status
Subject Wüstenfelde E266778 entity
Predicate locatedNear P294 FINISHED
Object Bad Oldesloe E491628 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: Bad Oldesloe | Statement: [Wüstenfelde, locatedNear, Bad Oldesloe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Oldesloe
Context triple: [Wüstenfelde, locatedNear, Bad Oldesloe]
  • A. Bad Oldesloe chosen
    Bad Oldesloe is a small town in northern Germany’s Schleswig-Holstein state, known for its historic market center and location between Hamburg and Lübeck.
  • B. Snodland
    Snodland is a small town in Kent, England, known historically for its cement and paper industries and its location between Maidstone and Rochester.
  • C. Hallerowo
    Hallerowo is a district of the seaside town Władysławowo in northern Poland, known for its coastal location on the Baltic Sea.
  • D. Hellingly
    Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
  • E. Balsthal
    Balsthal is a Swiss municipality in the canton of Solothurn, known for its industrial history and location in the Jura Mountains.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94f60d48190bc925c3cb88641a8 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccdf9e0c819098a921146e8d6e30 completed April 19, 2026, 12:38 p.m.
Created at: April 8, 2026, 9:31 p.m.