Triple

T22591583
Position Surface form Disambiguated ID Type / Status
Subject Chertsey and Walton E564962 entity
Predicate borderFeature P1896 FINISHED
Object River Thames 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 Thames | Statement: [Chertsey and Walton, borderFeature, River Thames]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Thames
Context triple: [Chertsey and Walton, borderFeature, 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. Thames
    Thames is a historic town on New Zealand’s North Island, known for its gold-mining heritage and position at the base of the Coromandel Peninsula.
  • C. Thames
    Thames is a British television production company best known for creating and producing popular entertainment and game shows for UK and international audiences.
  • D. Thames River
    The Thames River in Connecticut is a short tidal estuary in the southeastern part of the state that flows past cities like New London into Long Island Sound.
  • E. Thames River
    The Thames River is a Canadian river in southwestern Ontario that flows through communities such as Woodstock before emptying into Lake St. Clair.
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f16160651081909d23735336fd7a16 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:49 p.m.