Triple
T15842988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giedo van der Garde |
E384141
|
entity |
| Predicate | hasRoleAtTeam |
P161
|
FINISHED |
| Object | test and reserve driver at Sauber F1 Team |
—
|
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: test and reserve driver at Sauber F1 Team | Statement: [Giedo van der Garde, hasRoleAtTeam, test and reserve driver at Sauber F1 Team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoleAtTeam Context triple: [Giedo van der Garde, hasRoleAtTeam, test and reserve driver at Sauber F1 Team]
-
A.
hasTeamMember
Indicates that an entity includes another entity as a member of its team.
-
B.
hasRole
chosen
Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
-
C.
hasTeamFor
Indicates that an entity possesses, is associated with, or is responsible for a specific team designated for a particular purpose or context.
-
D.
includesTeam
Indicates that a group, project, or organization has a specific team as one of its constituent members or components.
-
E.
hasRoleInCommunity
Indicates that an entity holds or performs a specific role, function, or position within a particular community.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142ea3da08190a9d2d5917f84907c |
completed | April 16, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69e005434ed88190baf11c169da3cf29 |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:50 a.m.