Triple

T14601441
Position Surface form Disambiguated ID Type / Status
Subject Soir 3 (historical) E342713 entity
Predicate broadcastOn P833 FINISHED
Object France Régions 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 Régions 3 | Statement: [Soir 3 (historical), broadcastOn, France Régions 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France Régions 3
Context triple: [Soir 3 (historical), broadcastOn, France Régions 3]
  • A. French regions
    French regions are the primary administrative and territorial divisions of France, each grouping several departments under a regional council for governance and planning.
  • B. Hauts-de-France
    Hauts-de-France is a region in northern France known for its industrial heritage, coastal areas along the English Channel, and proximity to Belgium and the United Kingdom.
  • C. 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.
  • D. ISO 3166-2:FR
    ISO 3166-2:FR is the section of the ISO 3166-2 standard that defines internationally recognized subdivision codes for the regions and departments of France.
  • E. Île-de-France region
    Île-de-France is the most populous and economically significant region of France, encompassing Paris and its surrounding metropolitan area.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb438748081908020ce04b869866a completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94cc9fbc819090ae4efe9bc618aa completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:25 a.m.