Triple

T942058
Position Surface form Disambiguated ID Type / Status
Subject Outer Temple E20326 entity
Predicate locatedNear P294 FINISHED
Object River Thames E5226 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: River Thames | Statement: [Outer Temple, locatedNear, River Thames]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Thames
Context triple: [Outer Temple, locatedNear, River Thames]
  • A. Thames chosen
    The Thames is a major river in southern England that flows through London and has long been central to the country’s history, commerce, and culture.
  • B. Severn
    The Severn is the longest river in Great Britain, flowing through Wales and England before emptying into the Bristol Channel.
  • C. River Trent
    The River Trent is one of the principal rivers in the Midlands of England, flowing through cities such as Stoke-on-Trent and Nottingham before joining the Humber Estuary.
  • D. River Tyne
    The River Tyne is a major river in North East England that flows through Newcastle upon Tyne and Gateshead before reaching the North Sea.
  • E. River Cam
    The River Cam is a picturesque river in eastern England best known for flowing through the historic city and university of Cambridge, where it is famous for punting and scenic college views.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3a1a4888190997adf56eb761431 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e5948bc819085b3a68784e520c5 completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 7:40 p.m.