Triple

T3546502
Position Surface form Disambiguated ID Type / Status
Subject Bordeaux–Paris 1965 E75008 entity
Predicate partOf P40 FINISHED
Object Bordeaux–Paris E75008 NE FINISHED

How this triple was built (2 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: [Bordeaux–Paris 1965, partOf, Bordeaux–Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bordeaux–Paris
Context triple: [Bordeaux–Paris 1965, partOf, 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–Clermont-Ferrand
    Paris–Clermont-Ferrand is a major French intercity rail route linking the capital Paris with the central city of Clermont-Ferrand.
  • C. Paris–Lille
    Paris–Lille is a major high-speed rail corridor in northern France connecting the capital Paris with the city of Lille.
  • D. Bordeaux–Toulouse–Marseille
    Bordeaux–Toulouse–Marseille is a major French intercity rail corridor linking the Atlantic city of Bordeaux with Toulouse and the Mediterranean port of Marseille.
  • E. Bordeaux–Paris 1965 chosen
    Bordeaux–Paris 1965 was a historic long-distance French cycling classic whose 1965 edition is especially remembered for being dominated by legendary rider Jacques Anquetil.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfcf64488190af8452308734028c completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38be29b408190a8dba8c8ae2485a4 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.