Triple

T4314432
Position Surface form Disambiguated ID Type / Status
Subject Hauraki Gulf E94153 entity
Predicate nearCity P350 FINISHED
Object Thames E335530 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: Thames | Statement: [Hauraki Gulf, nearCity, Thames]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thames
Context triple: [Hauraki Gulf, nearCity, Thames]
  • A. Thames
    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 chosen
    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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350f4448481908be2c7df9cc71bb9 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacc9ef8c81909ff2a16cf68844d0 completed March 20, 2026, 8:23 p.m.
Created at: March 12, 2026, 11:12 p.m.