Triple

T9862346
Position Surface form Disambiguated ID Type / Status
Subject Poultry E239745 entity
Predicate connectsTo P845 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: [Poultry, connectsTo, Cheapside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheapside
Context triple: [Poultry, connectsTo, 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3b7b81c81909a84f6ced829f394 completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e447d3dc819090268f7d14ba3be4 completed April 5, 2026, 4:25 a.m.
Created at: March 30, 2026, 8:35 p.m.