Triple
T10162222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piers Courage |
E233916
|
entity |
| Predicate | carNumberInF1 |
P92357
|
FINISHED |
| Object | various |
—
|
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: various | Statement: [Piers Courage, carNumberInF1, various]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carNumberInF1 Context triple: [Piers Courage, carNumberInF1, various]
-
A.
totalFormulaOneEntries
Indicates the total number of times an entity has participated in Formula One events or races.
-
B.
totalFormulaOneStarts
Indicates the total number of times an entity has started in Formula One races.
-
C.
typicalCarNumberRange
Indicates the usual or commonly expected numerical range of cars associated with an entity (such as a location, time period, or context).
-
D.
F1LapRecordCar
Indicates the car that holds the lap record in a Formula 1 session or at a specific F1 circuit.
-
E.
firstFormulaOneTeam
Indicates the Formula One team for which an entity (typically a driver) first competed.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec5b5194819095645e9174897b0f |
completed | April 2, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba795808190acc9124c98c6e40f |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8f869c8190a82ad040993e0244 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 9:09 p.m.