Triple

T5333056
Position Surface form Disambiguated ID Type / Status
Subject The Heart Shopping Centre E123355 entity
Predicate ownedBy P347 FINISHED
Object F&C Commercial Property Trust (historical/major ownership stake)
F&C Commercial Property Trust is a UK-listed real estate investment trust that invests in and manages a diversified portfolio of commercial properties across the United Kingdom.
 E512375 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: F&C Commercial Property Trust (historical/major ownership stake) | Statement: [The Heart Shopping Centre, ownedBy, F&C Commercial Property Trust (historical/major ownership stake)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: F&C Commercial Property Trust (historical/major ownership stake)
Context triple: [The Heart Shopping Centre, ownedBy, F&C Commercial Property Trust (historical/major ownership stake)]
  • A. Federal Realty Investment Trust
    Federal Realty Investment Trust is a U.S.-based real estate investment trust specializing in owning, managing, and redeveloping high-quality retail and mixed-use properties in major metropolitan markets.
  • B. Fortis Property Group
    Fortis Property Group is a real estate investment and development firm known for acquiring and managing large commercial properties in major U.S. markets.
  • C. Empire State Realty Trust
    Empire State Realty Trust is a publicly traded real estate investment trust best known for owning and managing the Empire State Building and other office and retail properties, primarily in the New York City area.
  • D. CBL & Associates Properties
    CBL & Associates Properties is a U.S.-based real estate investment trust that owns and manages shopping malls and other retail properties across the country.
  • E. Vici Properties
    Vici Properties is a large publicly traded real estate investment trust (REIT) that specializes in owning gaming, hospitality, and entertainment properties across the United States.
  • 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: F&C Commercial Property Trust (historical/major ownership stake)
Triple: [The Heart Shopping Centre, ownedBy, F&C Commercial Property Trust (historical/major ownership stake)]
Generated description
F&C Commercial Property Trust is a UK-listed real estate investment trust that invests in and manages a diversified portfolio of commercial properties across the United Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: F&C Commercial Property Trust (historical/major ownership stake)
Target entity description: F&C Commercial Property Trust is a UK-listed real estate investment trust that invests in and manages a diversified portfolio of commercial properties across the United Kingdom.
  • A. Federal Realty Investment Trust
    Federal Realty Investment Trust is a U.S.-based real estate investment trust specializing in owning, managing, and redeveloping high-quality retail and mixed-use properties in major metropolitan markets.
  • B. Fortis Property Group
    Fortis Property Group is a real estate investment and development firm known for acquiring and managing large commercial properties in major U.S. markets.
  • C. Empire State Realty Trust
    Empire State Realty Trust is a publicly traded real estate investment trust best known for owning and managing the Empire State Building and other office and retail properties, primarily in the New York City area.
  • D. CBL & Associates Properties
    CBL & Associates Properties is a U.S.-based real estate investment trust that owns and manages shopping malls and other retail properties across the country.
  • E. Vici Properties
    Vici Properties is a large publicly traded real estate investment trust (REIT) that specializes in owning gaming, hospitality, and entertainment properties across the United States.
  • 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_69bd46477f9081909d242a327d749466 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ac8e10819088b6a9e02d927044 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18baeca081909acc11d0c6c89f6d completed March 21, 2026, 10:16 p.m.
NEDg Description generation batch_69bf1a5440d8819094a6da0282408b7b completed March 21, 2026, 10:23 p.m.
NED2 Entity disambiguation (via description) batch_69bf1abe1ea88190b681eb18bfa361d7 completed March 21, 2026, 10:25 p.m.
Created at: March 20, 2026, 2 p.m.