Triple

T11721402
Position Surface form Disambiguated ID Type / Status
Subject Telephone Communication Limited E278639 entity
Predicate associatedWith P37 FINISHED
Object TCL
TCL is a major Chinese multinational electronics company best known for manufacturing televisions, smartphones, and other consumer appliances.
 E58092 NE FINISHED

How this triple was built (4 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 | Statement: [Telephone Communication Limited, associatedWith, TCL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TCL
Context triple: [Telephone Communication Limited, associatedWith, TCL]
  • A. TCL
    TCL is the public transport network operator serving Lyon and its metropolitan area in France, managing buses, trams, and metro services.
  • B. TCL Corporation
    TCL Corporation is a major Chinese electronics company best known globally for manufacturing televisions and other consumer electronics.
  • C. Huawei
    Huawei is a major Chinese multinational technology company best known globally for its telecommunications equipment, smartphones, and role in 5G network infrastructure.
  • D. Midea
    Midea is an important archaeological site in Greece that was a fortified citadel of the Mycenaean civilization.
  • E. ZTE
    ZTE is a major Chinese telecommunications and technology company known for manufacturing network equipment and smartphones and competing globally with firms like Nokia and Huawei.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TCL
Triple: [Telephone Communication Limited, associatedWith, TCL]
Generated description
TCL is a major Chinese multinational electronics company best known for manufacturing televisions, smartphones, and other consumer appliances.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TCL
Target entity description: TCL is a major Chinese multinational electronics company best known for manufacturing televisions, smartphones, and other consumer appliances.
  • A. TCL
    TCL is the public transport network operator serving Lyon and its metropolitan area in France, managing buses, trams, and metro services.
  • B. TCL Corporation chosen
    TCL Corporation is a major Chinese electronics company best known globally for manufacturing televisions and other consumer electronics.
  • C. Huawei
    Huawei is a major Chinese multinational technology company best known globally for its telecommunications equipment, smartphones, and role in 5G network infrastructure.
  • D. Midea
    Midea is an important archaeological site in Greece that was a fortified citadel of the Mycenaean civilization.
  • E. ZTE
    ZTE is a major Chinese telecommunications and technology company known for manufacturing network equipment and smartphones and competing globally with firms like Nokia and Huawei.
  • F. None of above.

Provenance (5 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4c373088190bc2ae77a1696d280 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09004c5908190bd6d7a29b266318b completed April 28, 2026, 10:46 a.m.
NEDg Description generation batch_69f0bd36673881908530b68e496c3d2e completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0eec1f5d081908624fe2a93995fe5 completed April 28, 2026, 5:30 p.m.
Created at: April 8, 2026, 9:40 p.m.