Triple

T8279574
Position Surface form Disambiguated ID Type / Status
Subject Drake Circus Shopping Centre E193634 entity
Predicate hasTenant P3277 FINISHED
Object Waterstones
Waterstones is a major British bookshop chain known for its wide selection of books, stationery, and literary events across the UK and beyond.
E723222 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: Waterstones | Statement: [Drake Circus Shopping Centre, hasTenant, Waterstones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterstones
Context triple: [Drake Circus Shopping Centre, hasTenant, Waterstones]
  • A. Bodley Head
    Bodley Head is a British publishing house known for its literary fiction, non-fiction, and classic works.
  • B. The Bookseller
    The Bookseller is a long-established UK publishing trade magazine and media brand that covers and supports the book industry, including organizing major literary awards.
  • C. McIntyre’s Books
    McIntyre’s Books is an independent bookstore located in Fearrington Village, North Carolina, known for its curated selection and author events.
  • D. Bloomsbury
    Bloomsbury is a central London district renowned for its literary heritage, academic institutions, and garden squares.
  • E. Melbourne House
    Melbourne House was a prominent London townhouse associated with British high society and political life in the late 18th and early 19th centuries.
  • 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: Waterstones
Triple: [Drake Circus Shopping Centre, hasTenant, Waterstones]
Generated description
Waterstones is a major British bookshop chain known for its wide selection of books, stationery, and literary events across the UK and beyond.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Waterstones
Target entity description: Waterstones is a major British bookshop chain known for its wide selection of books, stationery, and literary events across the UK and beyond.
  • A. Bodley Head
    Bodley Head is a British publishing house known for its literary fiction, non-fiction, and classic works.
  • B. The Bookseller
    The Bookseller is a long-established UK publishing trade magazine and media brand that covers and supports the book industry, including organizing major literary awards.
  • C. McIntyre’s Books
    McIntyre’s Books is an independent bookstore located in Fearrington Village, North Carolina, known for its curated selection and author events.
  • D. Bloomsbury
    Bloomsbury is a central London district renowned for its literary heritage, academic institutions, and garden squares.
  • E. Melbourne House
    Melbourne House was a prominent London townhouse associated with British high society and political life in the late 18th and early 19th centuries.
  • 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb79ece5708190a1569bcfad5b3644 completed March 31, 2026, 7:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd686d9be081908b0490e708f51ad7 completed April 1, 2026, 6:48 p.m.
NEDg Description generation batch_69cd6d5441248190a9e32281dc8e8d62 completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e20f71c8190959319c6683a2810 completed April 1, 2026, 8:20 p.m.
Created at: March 30, 2026, 5:51 p.m.