Triple
T26735708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Éric Vergne |
E674102
|
entity |
| Predicate | WECTeams |
P161181
|
FINISHED |
| Object | Peugeot TotalEnergies |
—
|
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: Peugeot TotalEnergies | Statement: [Jean-Éric Vergne, WECTeams, Peugeot TotalEnergies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WECTeams Context triple: [Jean-Éric Vergne, WECTeams, Peugeot TotalEnergies]
-
A.
broadcastingTeam
Indicates a relationship where a group or organization is responsible for producing and transmitting a broadcast (such as a TV, radio, or streaming program) to an audience.
-
B.
wroteTeam
Indicates that an entity authored or co-authored a work on behalf of, or as a member of, a specific team.
-
C.
exampleTeam
Indicates that an entity is a representative or illustrative member of a particular team or group.
-
D.
coreTeams
Indicates that the entities are part of the same primary or central team within an organization or project.
-
E.
ABAteam
Indicates a relationship where an entity is a team that competes in or is affiliated with the American Basketball Association (ABA).
- F. None of above. chosen
Provenance (4 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_69eecda57ab481909424e98f2835e7d8 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f618441f508190b919f592256d31f8 |
completed | May 2, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f6106d346c8190868489f36c65b6ec |
completed | May 2, 2026, 2:55 p.m. |
Created at: April 27, 2026, 3:47 a.m.