Triple

T803424
Position Surface form Disambiguated ID Type / Status
Subject Transavia France E17177 entity
Predicate callsign P1565 FINISHED
Object FRENCH SUN
FRENCH SUN is the airline callsign used by the French low-cost carrier Transavia France for its flight operations.
 E95112 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: FRENCH SUN | Statement: [Transavia France, callsign, FRENCH SUN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FRENCH SUN
Context triple: [Transavia France, callsign, FRENCH SUN]
  • A. La Vie Claire
    La Vie Claire was a prominent French professional cycling team of the 1980s, known for its star-studded roster and innovative, Mondrian-inspired jersey design.
  • B. Allons
    Allons is the official motto of the U.S. Army’s 11th Armored Cavalry Regiment, reflecting its spirit of readiness and forward movement.
  • C. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • D. Étoile
    Étoile was the former name of the Paris Métro station now known as Charles de Gaulle–Étoile, located near the Arc de Triomphe at Place Charles de Gaulle.
  • E. Margeride
    Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
  • 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: FRENCH SUN
Triple: [Transavia France, callsign, FRENCH SUN]
Generated description
FRENCH SUN is the airline callsign used by the French low-cost carrier Transavia France for its flight operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FRENCH SUN
Target entity description: FRENCH SUN is the airline callsign used by the French low-cost carrier Transavia France for its flight operations.
  • A. La Vie Claire
    La Vie Claire was a prominent French professional cycling team of the 1980s, known for its star-studded roster and innovative, Mondrian-inspired jersey design.
  • B. Allons
    Allons is the official motto of the U.S. Army’s 11th Armored Cavalry Regiment, reflecting its spirit of readiness and forward movement.
  • C. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • D. Étoile
    Étoile was the former name of the Paris Métro station now known as Charles de Gaulle–Étoile, located near the Arc de Triomphe at Place Charles de Gaulle.
  • E. Margeride
    Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aabd9fc081908ccadd8e8769de2d completed March 1, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69a68926c04081908923a7d114d1842d completed March 3, 2026, 7:09 a.m.
NEDg Description generation batch_69a693cf5f348190868cdf3539274aeb completed March 3, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_69a6d5bc74008190b94ef7ea63f39671 completed March 3, 2026, 12:36 p.m.
Created at: March 1, 2026, 7:38 p.m.