Triple

T23239673
Position Surface form Disambiguated ID Type / Status
Subject Northampton Institute E581401 entity
Predicate locatedIn P40 FINISHED
Object Clerkenwell 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: Clerkenwell | Statement: [Northampton Institute, locatedIn, Clerkenwell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clerkenwell
Context triple: [Northampton Institute, locatedIn, 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. Clerkenwell Green
    Clerkenwell Green is a historic public square in central London known for its political gatherings, radical associations, and surrounding Victorian and medieval architecture.
  • E. 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.
  • 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192ecc7e481908cac59df5c0deea1 completed April 29, 2026, 5:11 a.m.
Created at: April 17, 2026, 4:10 p.m.