Triple

T9772385
Position Surface form Disambiguated ID Type / Status
Subject Ham House E237156 entity
Predicate hasView P854 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: [Ham House, hasView, River Thames]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: River Thames
Context triple: [Ham House, hasView, 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 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.
  • D. 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.
  • E. Severn
    The Severn is the longest river in Great Britain, flowing through Wales and England before emptying into the Bristol Channel.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0f5261481908d9bac8c43da5294 completed April 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c4083b208190b0e23c4dcbea0532 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:26 p.m.