Triple

T16845923
Position Surface form Disambiguated ID Type / Status
Subject Children of Earth: Day Four E409537 entity
Predicate setting P1957 FINISHED
Object Thames House E108052 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 House | Statement: [Children of Earth: Day Four, setting, Thames House]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thames House
Context triple: [Children of Earth: Day Four, setting, Thames House]
  • A. Thames House, London chosen
    Thames House in London is a prominent government building best known as the headquarters of the United Kingdom’s domestic security and counter-intelligence agency, MI5.
  • B. Riverside House, London
    Riverside House, London is a prominent office building on the South Bank of the Thames that serves as the main headquarters of the UK communications regulator Ofcom.
  • C. Trafalgar House
    Trafalgar House was a major British property and construction conglomerate active in the late 20th century, involved in large-scale infrastructure and real estate projects.
  • D. Portcullis House
    Portcullis House is a modern parliamentary office building in Westminster that provides workspaces for members of the UK House of Commons and their staff.
  • E. Thames Centre
    Thames Centre is a rural municipality in southwestern Ontario, Canada, located just east of London in Middlesex County.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b3541a008190b2a97cfea92b170f completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb1b47648190909eaaf4e1e8e4c3 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.