Triple
T3448550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris–Nice 1957 |
E72735
|
entity |
| Predicate | winnerTeam |
P2624
|
FINISHED |
| Object | Helyett–Potin |
E71360
|
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: Helyett–Potin | Statement: [Paris–Nice 1957, winnerTeam, Helyett–Potin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helyett–Potin Context triple: [Paris–Nice 1957, winnerTeam, Helyett–Potin]
-
A.
Helyett–Potin
chosen
Helyett–Potin was a French professional cycling team best known for being one of the early trade teams of Tour de France champion Jacques Anquetil.
-
B.
Smidovich
Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
-
C.
Pepusch
Pepusch is a surname most notably associated with Johann Christoph Pepusch, a German-born Baroque composer who worked extensively in London.
-
D.
Mistinguett
Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
-
E.
Mieresch
Mieresch is the German name for the Mureș River, a major river flowing through Romania and Hungary.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba705d988190b76d905751a337ee |
completed | March 8, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360e781a88190a4df2909f32c62ab |
completed | March 13, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:16 p.m.