Triple

T21559995
Position Surface form Disambiguated ID Type / Status
Subject Honoria Glossop E531988 entity
Predicate residence P75 FINISHED
Object London (fictional) 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: London (fictional) | Statement: [Honoria Glossop, residence, London (fictional)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London (fictional)
Context triple: [Honoria Glossop, residence, London (fictional)]
  • A. London (parallel Earth) chosen
    London (parallel Earth) is a fictional alternate-reality version of the real-world city of London, typically depicted with divergent history, culture, or technology from our own Earth.
  • B. London, England
    London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
  • C. London
    London is a major Ethereum network upgrade that introduced significant changes to the protocol’s fee market and transaction pricing mechanisms.
  • D. London
    London is a major city in Kiribati, located on Kiritimati (Christmas Island) in the central Pacific Ocean.
  • E. Allondon
    Allondon is a small river in western Switzerland and neighboring France, known for flowing through the Geneva region and its natural, relatively unspoiled surroundings.
  • 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e2db2c81908b965312c50d4354 completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.