Triple

T12866953
Position Surface form Disambiguated ID Type / Status
Subject Riceyman Steps E307744 entity
Predicate settingLocation P40 FINISHED
Object Clerkenwell E104706 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: Clerkenwell | Statement: [Riceyman Steps, settingLocation, Clerkenwell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clerkenwell
Context triple: [Riceyman Steps, settingLocation, Clerkenwell]
  • A. Clerkenwell chosen
    Clerkenwell is a historic district in central London known for its former industrial character, creative industries, and vibrant dining and nightlife scene.
  • B. Bucklersbury
    Bucklersbury is a short historic street in the City of London, located near the Bank of England and long associated with the city’s medieval commercial and civic life.
  • C. Shoreditch
    Shoreditch is a vibrant East London district known for its creative industries, street art, nightlife, and tech startups.
  • D. Limehouse
    Limehouse is a small rural community within the town of Halton Hills in Ontario, Canada, known for its conservation area, historic lime kilns, and scenic hiking trails along the Niagara Escarpment.
  • E. Limehouse
    Limehouse is a historic riverside district in London’s East End, known for its maritime heritage, former docks, and diverse urban character.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708e0b788190b72a3057e271c227 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb092b88190b159f1d79156cf86 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:38 p.m.