Triple
T15842521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyrrell Racing Organisation |
E384132
|
entity |
| Predicate | worldDriversChampionshipsWon |
P118787
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Tyrrell Racing Organisation, worldDriversChampionshipsWon, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldDriversChampionshipsWon Context triple: [Tyrrell Racing Organisation, worldDriversChampionshipsWon, 3]
-
A.
worldDriversChampionNationality
Indicates the nationality associated with a given world drivers champion.
-
B.
numberOfF1WorldChampionships
chosen
Indicates the number of Formula 1 World Championship titles that an entity has won.
-
C.
grandPrixRaceWins
Indicates the number of Grand Prix races that an entity has won.
-
D.
worldDriversChampionCarNumber
Indicates the car number driven by the Formula 1 World Drivers' Champion in a given season.
-
E.
driversChampionships
Indicates the number of drivers’ championship titles an entity has won or is associated with.
- 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.