Triple

T3947089
Position Surface form Disambiguated ID Type / Status
Subject Brickell City Centre E92172 entity
Predicate owner P347 FINISHED
Object Swire Properties E401853 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: Swire Properties | Statement: [Brickell City Centre, owner, Swire Properties]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swire Properties
Context triple: [Brickell City Centre, owner, Swire Properties]
  • A. Swire Properties chosen
    Swire Properties is a Hong Kong–based real estate developer known for large-scale, mixed-use urban projects in Asia and major international cities.
  • B. Swire Pacific
    Swire Pacific is a Hong Kong-based diversified conglomerate with major interests in aviation, property, beverages, and trading and industrial businesses.
  • C. Hang Lung Group
    Hang Lung Group is a Hong Kong-based property investment and development company known for owning and managing major commercial real estate projects in Hong Kong and mainland China.
  • D. HKRI Taikoo Hui
    HKRI Taikoo Hui is a large mixed-use commercial complex in Shanghai featuring high-end shopping, offices, and hospitality facilities.
  • E. 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.
  • 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_69aed965502c8190904ebad1203a4ae8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef0db56cc8190a5303e8fe0efbfc2 completed March 9, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53ff967a88190b0100dbedb580e4d completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:24 p.m.