Triple

T4702632
Position Surface form Disambiguated ID Type / Status
Subject Wigan Council E104310 entity
Predicate governs P760 FINISHED
Object Pemberton
Pemberton is a suburban area and ward within the Metropolitan Borough of Wigan in Greater Manchester, England.
 E462858 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: Pemberton | Statement: [Wigan Council, governs, Pemberton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pemberton
Context triple: [Wigan Council, governs, Pemberton]
  • A. Pemberton
    Pemberton is a small timber and tourism town in the forested hinterland of Western Australia's South West, known for its towering karri trees, wineries, and outdoor recreation.
  • B. Peniston
    Peniston is a masculine given name of English origin, historically borne by several members of the British aristocracy.
  • C. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • D. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • E. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • 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: Pemberton
Triple: [Wigan Council, governs, Pemberton]
Generated description
Pemberton is a suburban area and ward within the Metropolitan Borough of Wigan in Greater Manchester, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pemberton
Target entity description: Pemberton is a suburban area and ward within the Metropolitan Borough of Wigan in Greater Manchester, England.
  • A. Pemberton
    Pemberton is a small timber and tourism town in the forested hinterland of Western Australia's South West, known for its towering karri trees, wineries, and outdoor recreation.
  • B. Peniston
    Peniston is a masculine given name of English origin, historically borne by several members of the British aristocracy.
  • C. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • D. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • E. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63cec7988190b5f1d04d4f95314a completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03cd8cd4819081a7988b5945067f completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be04c5549c819087204ac7e2e0e8ea completed March 21, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69be05970dcc8190a86771d09f27d9f2 completed March 21, 2026, 2:42 a.m.
Created at: March 20, 2026, 1:17 p.m.