Triple

T18392620
Position Surface form Disambiguated ID Type / Status
Subject West End, Swerford E449773 entity
Predicate locatedNear P294 FINISHED
Object River Swere 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: River Swere | Statement: [West End, Swerford, locatedNear, River Swere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Swere
Context triple: [West End, Swerford, locatedNear, River Swere]
  • A. River Swere chosen
    River Swere is a small river in Oxfordshire, England, that flows through rural villages and countryside before joining the River Cherwell.
  • B. River Skane
    River Skane is a small Irish river known as a tributary of the historically significant River Boyne in eastern Ireland.
  • C. Skellefte River
    The Skellefte River is a major river in northern Sweden that flows through Västerbotten County to the Gulf of Bothnia and has historically supported regional mining, hydropower, and settlement.
  • D. River Mellte
    River Mellte is a scenic river in South Wales known for its waterfalls and gorges within the Brecon Beacons National Park.
  • E. Stör River
    The Stör River is a watercourse in northern Germany that drains Lake Schwerin and flows through Mecklenburg-Vorpommern before joining larger river systems.
  • 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e518435cf481908393c1eb2b4ba659 completed April 19, 2026, 6 p.m.
Created at: April 10, 2026, 10:46 a.m.