Triple

T15173208
Position Surface form Disambiguated ID Type / Status
Subject Chimelong Ocean Kingdom E362541 entity
Predicate operator P179 FINISHED
Object Chimelong Group E1142612 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: Chimelong Group | Statement: [Chimelong Ocean Kingdom, operator, Chimelong Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chimelong Group
Context triple: [Chimelong Ocean Kingdom, operator, Chimelong Group]
  • A. Chimelong Group chosen
    Chimelong Group is a major Chinese tourism and entertainment conglomerate best known for its large-scale theme parks, resorts, and wildlife attractions.
  • B. Sinobo Group
    Sinobo Group is a Chinese investment and real estate conglomerate best known in sports for its ownership stake in Beijing Guoan Football Club.
  • C. Bengang Group
    Bengang Group is a major Chinese steel company that serves as the corporate sponsor of the Liaoning Flying Leopards basketball team.
  • 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. Dalian Wanda Group
    Dalian Wanda Group is a major Chinese multinational conglomerate with core businesses in commercial property, entertainment, and tourism.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006501b488190a2ab09dbf1532571 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed3286a2c8190ac73b68cefd0191d completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:09 a.m.