Triple
T22580113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strictly Stock Series |
E544542
|
entity |
| Predicate | firstRaceDate |
P91549
|
FINISHED |
| Object | 1949-06-19 |
—
|
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: 1949-06-19 | Statement: [Strictly Stock Series, firstRaceDate, 1949-06-19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRaceDate Context triple: [Strictly Stock Series, firstRaceDate, 1949-06-19]
-
A.
firstRaceAtCircuit
Indicates that the referenced race is the first race ever held at the specified circuit.
-
B.
firstRecordedRaces
Indicates that the subject entity is associated with the earliest documented races or racing events in which it participated or was involved.
-
C.
racingDebut
chosen
Indicates the event or moment when an entity first participates in an official race or competitive racing activity.
-
D.
firstF1RaceHeld
Indicates that the subject is the location or venue where the first Formula 1 race was held.
-
E.
firstCupRace
Indicates the inaugural or earliest cup race event associated with the given entity 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fefa1308190876b617d47ba08f3 |
completed | April 29, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:53 p.m.