Triple
T15842498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyrrell Racing Organisation |
E384132
|
entity |
| Predicate | enteredFormulaOneIn |
P82780
|
FINISHED |
| Object | 1970 |
—
|
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: 1970 | Statement: [Tyrrell Racing Organisation, enteredFormulaOneIn, 1970]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredFormulaOneIn Context triple: [Tyrrell Racing Organisation, enteredFormulaOneIn, 1970]
-
A.
enteredFormulaOne
chosen
Indicates that an entity began competing in Formula One racing, marking its entry into the Formula One championship.
-
B.
totalFormulaOneEntries
Indicates the total number of times an entity has participated in Formula One events or races.
-
C.
firstFormulaOneGrandPrix
Indicates the event at which an entity made its debut participation in a Formula One Grand Prix.
-
D.
totalFormulaOneStarts
Indicates the total number of times an entity has started in Formula One races.
-
E.
firstFormulaOneWin
Indicates that the subject achieved their first victory in a Formula One race in relation to the specified event or context.
- 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.