Triple

T15797639
Position Surface form Disambiguated ID Type / Status
Subject Slough E383021 entity
Predicate hasRegion P285 FINISHED
Object Upton
Upton is a suburban area and historic parish within the town of Slough in Berkshire, England.
E1178182 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: Upton | Statement: [Slough, hasRegion, Upton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Upton
Context triple: [Slough, hasRegion, Upton]
  • A. Upton
    Upton is a suburban area on the Wirral Peninsula in Merseyside, England, forming part of the wider Liverpool urban region.
  • B. Upton
    Upton is a village in West Yorkshire, England, situated within the metropolitan borough of the City of Wakefield.
  • C. Upton
    Upton is a given name most famously associated with American novelist and social reformer Upton Sinclair.
  • D. Upton
    Upton is a historic residential neighborhood in West Baltimore, Maryland, known for its rich African American cultural and civic heritage.
  • E. Weston
    Weston is a surname of English origin borne by various notable individuals across fields such as literature, business, and the arts.
  • 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: Upton
Triple: [Slough, hasRegion, Upton]
Generated description
Upton is a suburban area and historic parish within the town of Slough in Berkshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Upton
Target entity description: Upton is a suburban area and historic parish within the town of Slough in Berkshire, England.
  • A. Upton
    Upton is a given name most famously associated with American novelist and social reformer Upton Sinclair.
  • B. Upton
    Upton is a village in West Yorkshire, England, situated within the metropolitan borough of the City of Wakefield.
  • C. Upton
    Upton is a suburban area on the Wirral Peninsula in Merseyside, England, forming part of the wider Liverpool urban region.
  • D. Upton
    Upton is a historic residential neighborhood in West Baltimore, Maryland, known for its rich African American cultural and civic heritage.
  • E. Weston
    Weston is a surname of English origin borne by various notable individuals across fields such as literature, business, and the arts.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4def80481908f72733ce9133bc6 completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998b52e481908baa20b5a8c1cbcf completed May 9, 2026, 8:31 p.m.
NEDg Description generation batch_69ff9a4499b08190b25759e757c402d4 completed May 9, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_69ff9ab92c3081908d90e54b85e471f3 completed May 9, 2026, 8:36 p.m.
Created at: April 10, 2026, 4:48 a.m.