Triple

T6603485
Position Surface form Disambiguated ID Type / Status
Subject Southwick E149058 entity
Predicate hasLocalGovernmentWard P14475 FINISHED
Object Eastbrook ward
Eastbrook ward is an electoral division within the local government structure that represents part of the Southwick area on a local council.
E606322 NE FINISHED

How this triple was built (4 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: Eastbrook ward | Statement: [Southwick, hasLocalGovernmentWard, Eastbrook ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eastbrook ward
Context triple: [Southwick, hasLocalGovernmentWard, Eastbrook ward]
  • A. Dunvant ward
    Dunvant ward is an electoral division and suburban area within the City and County of Swansea in south Wales.
  • B. Baguley ward
    Baguley ward is a local electoral division within the City of Manchester, England, represented on the city council.
  • C. Cockett ward
    Cockett ward is an electoral division and residential area within the city and county of Swansea in Wales.
  • D. Bickley ward
    Bickley ward is an electoral division within the London Borough of Bromley, forming part of the Bromley and Chislehurst parliamentary constituency.
  • E. Belmont ward
    Belmont ward is a local electoral division in the United Kingdom used for electing representatives to a borough or district council.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Eastbrook ward
Triple: [Southwick, hasLocalGovernmentWard, Eastbrook ward]
Generated description
Eastbrook ward is an electoral division within the local government structure that represents part of the Southwick area on a local council.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eastbrook ward
Target entity description: Eastbrook ward is an electoral division within the local government structure that represents part of the Southwick area on a local council.
  • A. Dunvant ward
    Dunvant ward is an electoral division and suburban area within the City and County of Swansea in south Wales.
  • B. Baguley ward
    Baguley ward is a local electoral division within the City of Manchester, England, represented on the city council.
  • C. Cockett ward
    Cockett ward is an electoral division and residential area within the city and county of Swansea in Wales.
  • D. Bickley ward
    Bickley ward is an electoral division within the London Borough of Bromley, forming part of the Bromley and Chislehurst parliamentary constituency.
  • E. Belmont ward
    Belmont ward is a local electoral division in the United Kingdom used for electing representatives to a borough or district council.
  • F. None of above. chosen

Provenance (5 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_69c687eaa7508190bb58ce2aa02039b3 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af11f0788190be010c6ee60e150c completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e43860f081908fbf1ec65bdad940 completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e4e9c344819099ad11c21c2e4a6e completed March 27, 2026, 8:13 p.m.
NED2 Entity disambiguation (via description) batch_69c6e583b1388190a57dce649567ef98 completed March 27, 2026, 8:16 p.m.
Created at: March 27, 2026, 1:56 p.m.