Triple
T27642896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cofidis cycling team |
E696631
|
entity |
| Predicate | hasMainSponsorCountry |
P17912
|
FINISHED |
| Object | France |
—
|
NE NERFINISHED |
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: France | Statement: [Cofidis cycling team, hasMainSponsorCountry, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainSponsorCountry Context triple: [Cofidis cycling team, hasMainSponsorCountry, France]
-
A.
hasContributingCountry
Indicates that a country has contributed resources, support, or participation to the subject entity or activity.
-
B.
hasMajorCountry
Indicates that an entity includes, is associated with, or is primarily represented by a particular major country.
-
C.
countryOfPatronage
chosen
Indicates the country that officially supports, sponsors, or acts as a patron for a given entity or activity.
-
D.
mainHostCountry
Indicates the country that primarily serves as the host location for the associated entity or event.
-
E.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
- 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_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
Created at: April 27, 2026, 2:27 p.m.