Triple

T19805222
Position Surface form Disambiguated ID Type / Status
Subject Penkhull E475792 entity
Predicate near P350 FINISHED
Object Boothen 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: Boothen | Statement: [Penkhull, near, Boothen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boothen
Context triple: [Penkhull, near, Boothen]
  • A. Boothen chosen
    Boothen is a residential district and community area within the city of Stoke-on-Trent in Staffordshire, England.
  • B. Bohooth
    Bohooth is a metro station on Cairo Metro Line 2 serving passengers in the Greater Cairo area.
  • C. Boontling
    Boontling is a highly localized and inventive American English argot developed in the late 19th century in Boonville, California, known for its unique vocabulary and obscure origins.
  • D. Boon
    Boon is a British television drama series that follows an ex-fireman turned freelance troubleshooter working in the Midlands.
  • E. Booberoi
    Booberoi is a rural locality within Carrathool Shire in New South Wales, Australia.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65427546c819082c8eb0d63e3f5fe completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:49 p.m.