Triple

T5072368
Position Surface form Disambiguated ID Type / Status
Subject Universal Beijing Resort E114309 entity
Predicate primaryOwnerStakeholder P52450 FINISHED
Object Beijing municipal government via joint venture LITERAL 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: Beijing municipal government via joint venture | Statement: [Universal Beijing Resort, primaryOwnerStakeholder, Beijing municipal government via joint venture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryOwnerStakeholder
Context triple: [Universal Beijing Resort, primaryOwnerStakeholder, Beijing municipal government via joint venture]
  • A. primaryOwner chosen
    Indicates that one entity is the main or principal owner of another entity, having the highest level of ownership or control among all possible owners.
  • B. hasStakeholder
    Indicates that an entity is a stakeholder of another entity, typically having an interest, involvement, or influence in its activities or outcomes.
  • C. majorShareholderOf
    Indicates that one entity owns a controlling or significantly large portion of another entity’s shares or equity.
  • D. primaryPatron
    Indicates that one entity serves as the main or chief supporter, sponsor, or benefactor of another entity.
  • E. primaryPeople
    Indicates that the referenced people are the main or most important individuals associated with a given entity, event, or context.
  • F. None of above.

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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74ce140881909a2874663244c0db completed March 20, 2026, 4:24 p.m.
PD Predicate disambiguation batch_69bd7157fe608190b4515d56fdd0a616 completed March 20, 2026, 4:10 p.m.
Created at: March 20, 2026, 1:39 p.m.