Triple

T5641530
Position Surface form Disambiguated ID Type / Status
Subject William Blackstone E124277 entity
Predicate placeOfBirth P1 FINISHED
Object Cheapside E281597 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: Cheapside | Statement: [William Blackstone, placeOfBirth, Cheapside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheapside
Context triple: [William Blackstone, placeOfBirth, Cheapside]
  • A. Clerkenwell
    Clerkenwell is a historic district in central London known for its former industrial character, creative industries, and vibrant dining and nightlife scene.
  • B. Elephant and Castle
    Elephant and Castle is a major road junction and rapidly redeveloping urban district in south London known for its transport hub, shopping centre (now largely demolished), and diverse local community.
  • C. Cheapside, City of London chosen
    Cheapside in the City of London is a historic commercial street and former medieval marketplace that has long been a central hub of trade and urban life in London.
  • D. Stepney
    Stepney is a historic district in the East End of London, England, known for its working-class roots and diverse immigrant communities.
  • E. Shoreditch
    Shoreditch is a vibrant East London district known for its creative industries, street art, nightlife, and tech startups.
  • 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_69c00824643c81909ffdb888a2d35189 completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c02286a14481908703ec1741343b76 completed March 22, 2026, 5:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d780e988190af0efdc6cc17b72e completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:41 p.m.