Triple
T15842523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyrrell Racing Organisation |
E384132
|
entity |
| Predicate | firstDriversTitleYear |
P14850
|
FINISHED |
| Object | 1971 |
—
|
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: 1971 | Statement: [Tyrrell Racing Organisation, firstDriversTitleYear, 1971]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstDriversTitleYear Context triple: [Tyrrell Racing Organisation, firstDriversTitleYear, 1971]
-
A.
firstPolePositionDriver
Indicates the driver who achieved the very first pole position in a given racing event or series.
-
B.
wonDriversTitleIn
Indicates that a driver secured the drivers’ championship title in a specified competition or season.
-
C.
driversTitleWinner
Indicates that the subject is the driver who won the drivers’ championship title in the referenced competition or season.
-
D.
driversChampionshipWin
Indicates that a driver has won the overall drivers’ championship title in a given racing series or season.
-
E.
firstWinnerYear
chosen
Indicates the year in which an entity first won a particular competition, award, or title.
- 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.