Triple

T9495375
Position Surface form Disambiguated ID Type / Status
Subject Trave E228990 entity
Predicate passesThrough P225 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: [Trave, passesThrough, Bad Oldesloe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Oldesloe
Context triple: [Trave, passesThrough, 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. Hellingly
    Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
  • D. Balsthal
    Balsthal is a Swiss municipality in the canton of Solothurn, known for its industrial history and location in the Jura Mountains.
  • E. Harrodstown
    Harrodstown was the original pioneer settlement that later became Harrodsburg, recognized as one of the earliest permanent European-American communities in Kentucky.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd95eb87b081908fc7255598cd9a24 completed April 1, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d34967881909980be6f1be80885 completed April 4, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:56 p.m.