Triple

T526309
Position Surface form Disambiguated ID Type / Status
Subject France Télévisions E10925 entity
Predicate formedByMergerOf P77 FINISHED
Object FR3
FR3 was a former French public television channel and network that later became part of France Télévisions.
 E65809 NE FINISHED

How this triple was built (4 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: FR3 | Statement: [France Télévisions, formedByMergerOf, FR3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FR3
Context triple: [France Télévisions, formedByMergerOf, FR3]
  • A. FRS
    FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
  • B. FR
    FR is the IATA airline designator used to identify Ryanair flights.
  • C. FRA
    FRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies France in international standards and data systems.
  • D. FRA
    FRA is the United States government agency responsible for regulating and overseeing the nation’s railroad safety, infrastructure, and operations.
  • E. FC
    FC is the standard abbreviation for Fibre Channel, a high-speed network technology primarily used to connect computer data storage in storage area networks.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FR3
Triple: [France Télévisions, formedByMergerOf, FR3]
Generated description
FR3 was a former French public television channel and network that later became part of France Télévisions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FR3
Target entity description: FR3 was a former French public television channel and network that later became part of France Télévisions.
  • A. FRS
    FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
  • B. FR
    FR is the IATA airline designator used to identify Ryanair flights.
  • C. FRA
    FRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies France in international standards and data systems.
  • D. FRA
    FRA is the United States government agency responsible for regulating and overseeing the nation’s railroad safety, infrastructure, and operations.
  • E. FC
    FC is the standard abbreviation for Fibre Channel, a high-speed network technology primarily used to connect computer data storage in storage area networks.
  • F. None of above. chosen

Provenance (5 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1d0d22081908aad915482d39e74 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b24157608190b4c7df2cae453a1f completed March 1, 2026, 9:40 p.m.
NEDg Description generation batch_69a4b4117f60819093b6eed4e9eb4630 completed March 1, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_69a4b476ecc881909ff7efbb3299ace3 completed March 1, 2026, 9:49 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.