Triple
T3464075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris–Nice 1961 |
E73093
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Paris–Nice |
E75133
|
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: Paris–Nice | Statement: [Paris–Nice 1961, partOf, Paris–Nice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paris–Nice Context triple: [Paris–Nice 1961, partOf, Paris–Nice]
-
A.
Paris–Nice
chosen
Paris–Nice is a prestigious early-season professional road cycling stage race in France, often seen as a key preparation event for the Grand Tours.
-
B.
Critérium du Dauphiné Libéré
The Critérium du Dauphiné Libéré is a prestigious week-long professional cycling stage race in southeastern France, often used by top riders as a key preparation event for the Tour de France.
-
C.
Paris–Roubaix
Paris–Roubaix is one of cycling’s oldest and most prestigious one-day “Monument” races, famed for its brutal cobblestone sectors and often unpredictable, harsh conditions.
-
D.
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.
-
E.
TGV Paris–Nice
TGV Paris–Nice is a high-speed French train service connecting Paris with the Mediterranean city of Nice.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb0dc100819084bb0c355c7bb15b |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e5c1f008190b1351e3d3e53fc11 |
completed | March 13, 2026, 3:02 a.m. |
Created at: March 8, 2026, 3:17 p.m.