Triple
T27642884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cofidis cycling team |
E696631
|
entity |
| Predicate | usesBicyclesFor |
P126234
|
FINISHED |
| Object | road racing |
—
|
LITERAL 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: road racing | Statement: [Cofidis cycling team, usesBicyclesFor, road racing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesBicyclesFor Context triple: [Cofidis cycling team, usesBicyclesFor, road racing]
-
A.
usesBike
Indicates that an entity regularly rides or employs a bicycle as a means of transportation or activity.
-
B.
bicycleUse
Indicates that an entity makes use of a bicycle for transportation, activity, or other purposes.
-
C.
cyclingUse
chosen
Indicates that one entity uses or is used for cycling, such as engaging in or supporting bicycle-based transportation or activity.
-
D.
bikesUsed
Indicates that one or more bicycles are utilized or operated in relation to a particular entity or activity.
-
E.
hasRideCycle
Indicates that one entity is associated with, or participates in, a recurring sequence or cycle of rides or ride operations.
- F. None of above.
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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 27, 2026, 2:27 p.m.