Triple
T26462075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Speed |
E665663
|
entity |
| Predicate | F1RacesEntered |
P52121
|
FINISHED |
| Object | 28 |
—
|
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: 28 | Statement: [Scott Speed, F1RacesEntered, 28]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: F1RacesEntered Context triple: [Scott Speed, F1RacesEntered, 28]
-
A.
F1GrandsPrixEntered
Indicates the number of Formula 1 Grand Prix events that an entity has officially entered.
-
B.
F1Seasons
Indicates the seasons in which a given Formula 1 entity (such as a driver, team, or event) participated or was active.
-
C.
F1Status
Indicates the current competitive or operational standing of an entity within the context of Formula 1 (e.g., active, reserve, retired, or otherwise classified in F1).
-
D.
totalFormulaOneEntries
chosen
Indicates the total number of times an entity has participated in Formula One events or races.
-
E.
enteredFormulaOne
Indicates that an entity began competing in Formula One racing, marking its entry into the Formula One championship.
- 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_69ee883e812c8190a9b5a9cdb87fee5e |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6129651808190b715548c968b3c22 |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 12:13 a.m.