Triple

T14836041
Position Surface form Disambiguated ID Type / Status
Subject Emersons Green E348831 entity
Predicate hasElectoralWard P962 FINISHED
Object Emersons Green ward E348831 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: Emersons Green ward | Statement: [Emersons Green, hasElectoralWard, Emersons Green ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emersons Green ward
Context triple: [Emersons Green, hasElectoralWard, Emersons Green ward]
  • A. Emersons Green chosen
    Emersons Green is a suburban residential and commercial area on the outskirts of Bristol in South Gloucestershire, England.
  • B. Hough Green
    Hough Green is a suburban area in Widnes, Cheshire, England, served by its own railway station and characterized by residential neighborhoods and local amenities.
  • C. Borough Green
    Borough Green is a village in Kent, England, known for its residential community and local amenities within the Tonbridge and Malling district.
  • D. Islington Green
    Islington Green is a small historic public park and open space in the London Borough of Islington, known as a local gathering spot surrounded by shops, cafes, and busy streets.
  • E. South Green
    South Green is a historic residential and commercial neighborhood located just south of downtown Hartford, Connecticut.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded076ac9c8190a05cabec5e87d207 completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64fc8cdc8190a142a2a3ef889e72 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:52 a.m.