Triple

T10154011
Position Surface form Disambiguated ID Type / Status
Subject River Wenning E232722 entity
Predicate flowsThrough P225 FINISHED
Object Low Bentham E401349 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: Low Bentham | Statement: [River Wenning, flowsThrough, Low Bentham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Low Bentham
Context triple: [River Wenning, flowsThrough, Low Bentham]
  • A. High Bentham
    High Bentham is a small town in North Yorkshire, England, situated near the Yorkshire Dales and known for its rural setting and surrounding countryside.
  • B. Sir Samuel Bentham
    Sir Samuel Bentham was a British naval architect and engineer noted for his innovative ship designs and contributions to naval technology in the late 18th and early 19th centuries.
  • C. Bentham chosen
    Bentham is a village in North Yorkshire, England, known for its rural setting near the Yorkshire Dales.
  • D. Jeremy Bentham
    Jeremy Bentham was an English philosopher and legal reformer best known as the founder of modern utilitarianism, advocating that laws and actions should aim to maximize overall happiness.
  • E. Roderick Spode
    Roderick Spode is a fictional fascist leader and menacing yet comically absurd antagonist in P. G. Wodehouse’s Jeeves and Wooster stories.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec376cd48190990862c56c3a4dce completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300a40638819082e575d957711377 completed April 6, 2026, 12:39 a.m.
Created at: March 30, 2026, 9:08 p.m.