Triple

T5014251
Position Surface form Disambiguated ID Type / Status
Subject Lyon tramway line T1 E112701 entity
Predicate operator P179 FINISHED
Object TCL
TCL is the public transport network operator serving Lyon and its metropolitan area in France, managing buses, trams, and metro services.
 E487436 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: [Lyon tramway line T1, operator, TCL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TCL
Context triple: [Lyon tramway line T1, operator, TCL]
  • A. TCL Corporation
    TCL Corporation is a major Chinese electronics company best known globally for manufacturing televisions and other consumer electronics.
  • B. Huawei
    Huawei is a major Chinese multinational technology company best known globally for its telecommunications equipment, smartphones, and role in 5G network infrastructure.
  • C. Midea
    Midea is an important archaeological site in Greece that was a fortified citadel of the Mycenaean civilization.
  • D. 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.
  • E. Vizio
    Vizio is an American consumer electronics company best known for its affordable flat-screen televisions and home entertainment products.
  • 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: [Lyon tramway line T1, operator, TCL]
Generated description
TCL is the public transport network operator serving Lyon and its metropolitan area in France, managing buses, trams, and metro services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TCL
Target entity description: TCL is the public transport network operator serving Lyon and its metropolitan area in France, managing buses, trams, and metro services.
  • A. TCL Corporation
    TCL Corporation is a major Chinese electronics company best known globally for manufacturing televisions and other consumer electronics.
  • B. Huawei
    Huawei is a major Chinese multinational technology company best known globally for its telecommunications equipment, smartphones, and role in 5G network infrastructure.
  • C. Midea
    Midea is an important archaeological site in Greece that was a fortified citadel of the Mycenaean civilization.
  • D. 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.
  • E. Vizio
    Vizio is an American consumer electronics company best known for its affordable flat-screen televisions and home entertainment products.
  • F. None of above. chosen

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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7310c5b08190a5c9ab0f9fe9569f completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9271eccc8190bbe9bdb876b41cb8 completed March 21, 2026, 12:43 p.m.
NEDg Description generation batch_69be9653457c819082c4e4436a940f92 completed March 21, 2026, 1 p.m.
NED2 Entity disambiguation (via description) batch_69be96b861d08190b64145f30b3420b5 completed March 21, 2026, 1:01 p.m.
Created at: March 20, 2026, 1:35 p.m.