Triple

T10795820
Position Surface form Disambiguated ID Type / Status
Subject Li Dongsheng E254702 entity
Predicate businessPartner P282 FINISHED
Object TCL Corporation E58092 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: TCL Corporation | Statement: [Li Dongsheng, businessPartner, TCL Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TCL Corporation
Context triple: [Li Dongsheng, businessPartner, TCL Corporation]
  • A. TCL Corporation chosen
    TCL Corporation is a major Chinese electronics company best known globally for manufacturing televisions and other consumer electronics.
  • B. TCL
    TCL is the public transport network operator serving Lyon and its metropolitan area in France, managing buses, trams, and metro services.
  • C. Midea Group
    Midea Group is a major Chinese multinational home appliance and robotics manufacturer known for its extensive range of consumer electronics and industrial automation products.
  • D. Huawei
    Huawei is a major Chinese multinational technology company best known globally for its telecommunications equipment, smartphones, and role in 5G network infrastructure.
  • E. Unicom Corporation
    Unicom Corporation was a major U.S. electric utility holding company based in Illinois that later became part of Exelon through a merger.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73332dbfc8190904434846957b618 completed April 9, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69de84f1fdfc8190a31a13ae434e56c1 completed April 14, 2026, 6:18 p.m.
Created at: April 8, 2026, 9:17 p.m.