Triple

T3215759
Position Surface form Disambiguated ID Type / Status
Subject France 4 E67390 entity
Predicate satelliteService P19767 FINISHED
Object Fransat
Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
 E337202 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: Fransat | Statement: [France 4, satelliteService, Fransat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fransat
Context triple: [France 4, satelliteService, Fransat]
  • A. Franca
    Franca is a city in the northeastern part of the Brazilian state of São Paulo, known historically for its leather and footwear industry.
  • B. Fran
    Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
  • C. Viennois
    Viennois is the French term for an inhabitant or native of the city of Vienne in southeastern France.
  • D. Jougne
    Jougne is a small French commune in the Doubs department of the Bourgogne-Franche-Comté region, known for its location near the Swiss border in the Jura Mountains.
  • E. Fages
    Fages is a Spanish surname most notably associated with Pedro Fages, an 18th-century Spanish soldier and colonial administrator in California.
  • 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: Fransat
Triple: [France 4, satelliteService, Fransat]
Generated description
Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fransat
Target entity description: Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
  • A. Franca
    Franca is a city in the northeastern part of the Brazilian state of São Paulo, known historically for its leather and footwear industry.
  • B. Fran
    Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
  • C. Viennois
    Viennois is the French term for an inhabitant or native of the city of Vienne in southeastern France.
  • D. Jougne
    Jougne is a small French commune in the Doubs department of the Bourgogne-Franche-Comté region, known for its location near the Swiss border in the Jura Mountains.
  • E. Fages
    Fages is a Spanish surname most notably associated with Pedro Fages, an 18th-century Spanish soldier and colonial administrator in California.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adab096b588190b22e41a76263ae92 completed March 8, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2623c90cc819085a94adfe3eb3f3f completed March 12, 2026, 6:50 a.m.
NEDg Description generation batch_69b2630060288190b0cf236863a5bb69 completed March 12, 2026, 6:53 a.m.
NED2 Entity disambiguation (via description) batch_69b264cbe2a48190baad7f335cdc37ba completed March 12, 2026, 7:01 a.m.
Created at: March 8, 2026, 3:07 p.m.