Triple

T11500810
Position Surface form Disambiguated ID Type / Status
Subject CentraleSupélec E272658 entity
Predicate memberOf P10 FINISHED
Object TIME network E167327 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: TIME network | Statement: [CentraleSupélec, memberOf, TIME network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TIME network
Context triple: [CentraleSupélec, memberOf, TIME network]
  • A. TIME network chosen
    The TIME network is an international consortium of leading universities focused on providing high-level engineering education and promoting double-degree and exchange programs in technology and management.
  • B. TNT network
    TNT network is an American cable television channel known for airing drama series, sports coverage, and feature films.
  • C. Worldnet Television
    Worldnet Television was an international satellite television service created by the U.S. government to broadcast news and information programming abroad as part of its public diplomacy efforts.
  • D. CMP network
    The CMP network was the early 20th-century urban rail system operated by the Compagnie du chemin de fer métropolitain de Paris, forming the core of what became the modern Paris Métro.
  • E. W Network
    W Network is a Canadian specialty television channel known for lifestyle, reality, and entertainment programming aimed primarily at women.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de3e9c881909d6c55334f7a832d completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e604bc1d3c81908497f1d19dcc2167 completed April 20, 2026, 10:49 a.m.
Created at: April 8, 2026, 9:36 p.m.