Triple
T13476929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Drivers' Championship |
E318273
|
entity |
| Predicate | mostConsecutiveTitlesNumber |
P87395
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [World Drivers' Championship, mostConsecutiveTitlesNumber, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostConsecutiveTitlesNumber Context triple: [World Drivers' Championship, mostConsecutiveTitlesNumber, 5]
-
A.
consecutiveLeagueTitles
Indicates that one entity has won league titles in successive seasons without interruption.
-
B.
mostConsecutiveWinsCount
Indicates the highest number of wins achieved in a row within a given sequence or context.
-
C.
consecutiveTitlesForChampion
Indicates that a champion has won multiple titles in succession without interruption.
-
D.
consecutiveLeagueTitlesPeriod
Indicates a time span during which a team or entity wins league titles in consecutive seasons without interruption.
-
E.
consecutiveTitleNumberForChampion
chosen
Indicates that the associated number represents how many titles a champion has won consecutively up to that point.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf2551b48190a074fd256791742d |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.