Triple

T18915974
Position Surface form Disambiguated ID Type / Status
Subject Leadenhall Building E462724 entity
Predicate owner P347 FINISHED
Object CC Land Holdings 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: CC Land Holdings | Statement: [Leadenhall Building, owner, CC Land Holdings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CC Land Holdings
Context triple: [Leadenhall Building, owner, CC Land Holdings]
  • A. CC Land Holdings chosen
    CC Land Holdings is a Hong Kong-based property investment and development company known for owning major commercial real estate assets in the United Kingdom.
  • B. Sunland Group
    Sunland Group is an Australian property development company known for designing and constructing high-profile residential and commercial projects.
  • C. KLCC Holdings
    KLCC Holdings is a Malaysian property development and investment company best known for developing and managing the landmark Petronas Towers and the surrounding Kuala Lumpur City Centre complex.
  • D. CSC Holdings, LLC
    CSC Holdings, LLC is a major U.S. cable television and broadband services provider operating under Altice USA.
  • E. European Land and Property Limited
    European Land and Property Limited is a property development company known for major urban regeneration projects in London, including the transformation of areas such as Paddington Basin.
  • 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_69e5c62685408190b17280147e1c247a completed April 20, 2026, 6:22 a.m.
Created at: April 10, 2026, 11:58 a.m.