Triple

T13782018
Position Surface form Disambiguated ID Type / Status
Subject France 2 E331152 entity
Predicate sisterChannel P5818 FINISHED
Object France 3 E68669 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: France 3 | Statement: [France 2, sisterChannel, France 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France 3
Context triple: [France 2, sisterChannel, France 3]
  • A. France 3 chosen
    France 3 is a French public television channel known for its regional programming and news coverage as part of the France Télévisions group.
  • B. France 2
    France 2 is a major French public television channel that forms part of the France Télévisions group and broadcasts a wide range of news, entertainment, and cultural programming nationwide.
  • C. France 3 Cinéma
    France 3 Cinéma is a French film production company associated with the public television network France 3, known for co-producing a wide range of auteur and independent films.
  • D. France 4
    France 4 is a French public television channel, part of the France Télévisions group, known for broadcasting youth-oriented and family entertainment programming.
  • E. France 2 Cinéma
    France 2 Cinéma is a French film production company affiliated with the public television channel France 2, known for co-producing a wide range of French and European feature films.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0247ccc881908dad7b547221f15d completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b079013881908e9f5412e5dfb0b2 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:11 p.m.