Triple

T21384147
Position Surface form Disambiguated ID Type / Status
Subject Liang Xinjun E527445 entity
Predicate employer P7 FINISHED
Object Fosun Group 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: Fosun Group | Statement: [Liang Xinjun, employer, Fosun Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fosun Group
Context triple: [Liang Xinjun, employer, Fosun Group]
  • A. Fosun International chosen
    Fosun International is a major Chinese multinational conglomerate with diversified investments spanning sectors such as finance, healthcare, tourism, and consumer products.
  • B. CITIC Group
    CITIC Group is a large state-owned Chinese conglomerate headquartered in Beijing, with major interests in finance, real estate, resources, and infrastructure.
  • C. Dalian Wanda Group
    Dalian Wanda Group is a major Chinese multinational conglomerate with core businesses in commercial property, entertainment, and tourism.
  • D. Shanghai Jiushi Group
    Shanghai Jiushi Group is a major state-owned enterprise in Shanghai involved in urban infrastructure, transportation, and sports and cultural event operations.
  • E. China State Construction Engineering Corporation
    China State Construction Engineering Corporation is one of the world’s largest construction and engineering companies, responsible for major infrastructure and skyscraper projects in China and abroad.
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0f164d08190a7df85451c082f53 completed April 22, 2026, 11:28 a.m.
Created at: April 16, 2026, 5:12 p.m.