Triple

T11493224
Position Surface form Disambiguated ID Type / Status
Subject Lakeside Shopping Centre E272467 entity
Predicate hasAnchorTenant P11754 FINISHED
Object Next E137849 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: Next | Statement: [Lakeside Shopping Centre, hasAnchorTenant, Next]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Next
Context triple: [Lakeside Shopping Centre, hasAnchorTenant, Next]
  • A. Next
    Next is a work by British author David Tattersall, recognized as one of his notable contributions to contemporary literature.
  • B. Next chosen
    Next is a major British multinational clothing, footwear, and home products retailer known for its extensive high-street and online presence.
  • C. Next
    Next is a science fiction novel by Michael Crichton that explores the ethical, legal, and commercial implications of genetic engineering and biotechnology.
  • D. NEXT
    NEXT is a section of the Sundance Film Festival dedicated to innovative, low-budget, and forward-thinking independent films that often showcase emerging voices and experimental storytelling.
  • E. NEXT
    NEXT is the stock ticker symbol for NeXT Inc., the computer company founded by Steve Jobs after he left Apple, known for its influential workstation computers and software.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85ddffdf88190a00e94ad5b8b91a5 completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6047d95548190b445aa3b4f1e71cc completed April 20, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:36 p.m.