Triple

T3768139
Position Surface form Disambiguated ID Type / Status
Subject L’Auto E82729 entity
Predicate predecessor P97 FINISHED
Object Le Vélo
Le Vélo was a pioneering French sports newspaper, particularly known for its coverage of cycling at the end of the 19th century.
 E386112 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: Le Vélo | Statement: [L’Auto, predecessor, Le Vélo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Le Vélo
Context triple: [L’Auto, predecessor, Le Vélo]
  • A. La Bicicleta
    "La Bicicleta" is a popular Latin pop and vallenato fusion song by Colombian artists Shakira and Carlos Vives that celebrates Colombian culture and landscapes.
  • B. La Tournette
    La Tournette is a prominent peak in the French Alps known for its panoramic views over Lake Annecy and popular hiking routes.
  • C. La Promenade
    La Promenade is an Impressionist painting by Claude Monet depicting a woman with a parasol standing in a breezy, sunlit landscape.
  • D. Le Reculet
    Le Reculet is one of the highest summits in eastern France, known for its panoramic views over the surrounding Jura range and the Alps.
  • E. The Wheel
    The Wheel is a prominent observation wheel attraction at ICON Park in Orlando, offering panoramic views of the city and surrounding area.
  • 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: Le Vélo
Triple: [L’Auto, predecessor, Le Vélo]
Generated description
Le Vélo was a pioneering French sports newspaper, particularly known for its coverage of cycling at the end of the 19th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Le Vélo
Target entity description: Le Vélo was a pioneering French sports newspaper, particularly known for its coverage of cycling at the end of the 19th century.
  • A. La Bicicleta
    "La Bicicleta" is a popular Latin pop and vallenato fusion song by Colombian artists Shakira and Carlos Vives that celebrates Colombian culture and landscapes.
  • B. La Tournette
    La Tournette is a prominent peak in the French Alps known for its panoramic views over Lake Annecy and popular hiking routes.
  • C. La Promenade
    La Promenade is an Impressionist painting by Claude Monet depicting a woman with a parasol standing in a breezy, sunlit landscape.
  • D. Le Reculet
    Le Reculet is one of the highest summits in eastern France, known for its panoramic views over the surrounding Jura range and the Alps.
  • E. The Wheel
    The Wheel is a prominent observation wheel attraction at ICON Park in Orlando, offering panoramic views of the city and surrounding area.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc2bdf6c819088d3c6ace83ca5ea completed March 8, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5251d2481909f692937271a8013 completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e73b64388190b1f32a9ec498bf11 completed March 14, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_69b4e78a5dcc8190b25c9a35728bfb94 completed March 14, 2026, 4:43 a.m.
Created at: March 8, 2026, 3:35 p.m.