Triple
T15842878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adrian Sutil |
E384139
|
entity |
| Predicate | racedForTeamInSeason |
P60038
|
FINISHED |
| Object | Spyker F1 Team 2007 |
—
|
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: Spyker F1 Team 2007 | Statement: [Adrian Sutil, racedForTeamInSeason, Spyker F1 Team 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: racedForTeamInSeason Context triple: [Adrian Sutil, racedForTeamInSeason, Spyker F1 Team 2007]
-
A.
racedForTeam
chosen
Indicates that an individual competed in races as a member or representative of a specific team.
-
B.
joinedTeamInSeason
Indicates that an entity became a member of a specific team during a particular season.
-
C.
ledTeamInSeason
Indicates that one entity served as the leader (such as a coach or captain) of a particular team during a specified season.
-
D.
championshipWithTeam
Indicates that an entity has won or holds a championship title specifically while being a member of a particular team.
-
E.
joinedLeagueInSeason
Indicates that an entity became a member of a particular league starting in a specified season.
- 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_69e142e88ff08190a1035269e8fdaa6a |
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.