Triple
T6850852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Formula 2 Championship |
E158009
|
entity |
| Predicate | usesStandingStarts |
P30569
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Formula 2 Championship, usesStandingStarts, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesStandingStarts Context triple: [Formula 2 Championship, usesStandingStarts, true]
-
A.
totalStarts
Indicates the total number of times an entity has been started or initiated across all relevant instances or periods.
-
B.
startsAt
Indicates that an event, process, or state begins at a specific time, location, or point in a sequence.
-
C.
startedRacing
Indicates that an entity began participating in a racing activity or competition, marking the initiation of its involvement in racing.
-
D.
canCommence
Indicates that a particular process, event, or action is allowed or ready to begin under the given conditions.
-
E.
raceStartType
chosen
Indicates the manner or format in which a race is initiated (e.g., type or method of starting the race).
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d84c45708190918adfc028252400 |
completed | March 27, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69c6d0a12834819097d7e6c0b823745e |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.