Triple

T14112288
Position Surface form Disambiguated ID Type / Status
Subject NTUA E339667 entity
Predicate affiliation 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: [NTUA, affiliation, TIME network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TIME network
Context triple: [NTUA, affiliation, 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. The 101 Network
    The 101 Network was a DirecTV-owned television channel known for airing reruns and exclusive broadcasts of popular series, including shows like "Friday Night Lights."
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600e6a688190a1243a30ae9b7157 completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b881388190a5bcdd87fd10c516 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.