Triple

T13782021
Position Surface form Disambiguated ID Type / Status
Subject France 2 E331152 entity
Predicate sisterChannel P5818 FINISHED
Object France Info E66412 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 Info | Statement: [France 2, sisterChannel, France Info]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France Info
Context triple: [France 2, sisterChannel, France Info]
  • A. France Info chosen
    France Info is a French public rolling news television channel providing continuous national and international news coverage.
  • B. France Info (radio)
    France Info (radio) is a French public all-news radio network that provides continuous national and international news coverage.
  • C. French Wikinews
    French Wikinews is the French-language edition of the Wikinews collaborative, free-content news project run by the Wikimedia Foundation.
  • D. 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.
  • E. france.tv
    france.tv is the official online streaming and catch-up TV platform of the French public broadcaster France Télévisions, offering live channels and on-demand programs.
  • 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.