Triple

T16883931
Position Surface form Disambiguated ID Type / Status
Subject Herman Van Springel E421489 entity
Predicate won P1518 FINISHED
Object Bordeaux–Paris
Bordeaux–Paris was a historic ultra-distance professional cycling race in France, renowned for its extreme length and prestige before its discontinuation.
 E1242775 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: Bordeaux–Paris | Statement: [Herman Van Springel, won, Bordeaux–Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bordeaux–Paris
Context triple: [Herman Van Springel, won, Bordeaux–Paris]
  • A. Paris–Bordeaux
    Paris–Bordeaux is a major high-speed rail corridor in France connecting the capital with the southwest, known for its fast TGV services.
  • B. Paris–Rennes
    Paris–Rennes is a major high-speed rail corridor in France linking the capital Paris with the city of Rennes in Brittany.
  • C. Paris–Toulouse
    Paris–Toulouse is a major intercity rail corridor in France linking the capital Paris with the southwestern city of Toulouse.
  • D. Paris–Nantes
    Paris–Nantes is a major high-speed rail corridor in France linking the capital Paris with the western city of Nantes.
  • E. Paris–Bayonne
    Paris–Bayonne is a major French rail corridor linking the capital Paris with the southwestern city of Bayonne, serving as a key route toward the Atlantic coast and the Spanish border.
  • 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: Bordeaux–Paris
Triple: [Herman Van Springel, won, Bordeaux–Paris]
Generated description
Bordeaux–Paris was a historic ultra-distance professional cycling race in France, renowned for its extreme length and prestige before its discontinuation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bordeaux–Paris
Target entity description: Bordeaux–Paris was a historic ultra-distance professional cycling race in France, renowned for its extreme length and prestige before its discontinuation.
  • A. Paris–Bordeaux
    Paris–Bordeaux is a major high-speed rail corridor in France connecting the capital with the southwest, known for its fast TGV services.
  • B. Paris–Rennes
    Paris–Rennes is a major high-speed rail corridor in France linking the capital Paris with the city of Rennes in Brittany.
  • C. Paris–Toulouse
    Paris–Toulouse is a major intercity rail corridor in France linking the capital Paris with the southwestern city of Toulouse.
  • D. Paris–Nantes
    Paris–Nantes is a major high-speed rail corridor in France linking the capital Paris with the western city of Nantes.
  • E. Paris–Bayonne
    Paris–Bayonne is a major French rail corridor linking the capital Paris with the southwestern city of Bayonne, serving as a key route toward the Atlantic coast and the Spanish border.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbbf0cec819084216807601afad1 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d4544124819080f20df1daa3f9ed completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d55f665c8190bd9a4bf594d0bac4 completed May 10, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_6a00d5c38a1081909e13c016f21899d2 completed May 10, 2026, 7 p.m.
Created at: April 10, 2026, 5:29 a.m.