Triple

T18916141
Position Surface form Disambiguated ID Type / Status
Subject Sky Garden E462728 entity
Predicate operator P179 FINISHED
Object Landsec NE NERFINISHED

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: Landsec | Statement: [Sky Garden, operator, Landsec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landsec
Context triple: [Sky Garden, operator, Landsec]
  • A. Landsec chosen
    Landsec is one of the largest commercial property development and investment companies in the United Kingdom, known for owning and managing major retail and office destinations.
  • B. Lendlease
    Lendlease is a global real estate and infrastructure company headquartered in Australia, known for developing and managing large-scale urban regeneration and retail projects.
  • C. Savills
    Savills is a global real estate services company headquartered in London, known for providing property management, consultancy, and transactional services across commercial and residential markets.
  • D. M&G Real Estate
    M&G Real Estate is a global real estate investment manager and part of M&G plc, overseeing a diverse portfolio of commercial and residential properties.
  • E. Aldwych Property Group
    Aldwych Property Group is a real estate investment and management company known for owning prominent entertainment and commercial properties in the United Kingdom.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c627724881909cf63c67d64321e8 completed April 20, 2026, 6:22 a.m.
Created at: April 10, 2026, 11:58 a.m.