Triple
T26461889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuki Tsunoda |
E665659
|
entity |
| Predicate | hasPodiumInJuniorFormula |
P92355
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Yuki Tsunoda, hasPodiumInJuniorFormula, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPodiumInJuniorFormula Context triple: [Yuki Tsunoda, hasPodiumInJuniorFormula, yes]
-
A.
hasPodiumType
Indicates the specific type or category of podium associated with an entity.
-
B.
achievedPodiumIn
chosen
Indicates that an entity finished in a top-ranked (podium) position in a specified competition or event.
-
C.
hasPodiumCeremony
Indicates that a podium ceremony is held or associated with the referenced event or competition.
-
D.
hasJuniorAgeCategory
Indicates that an entity is associated with, or classified under, a junior age category within a given context or system.
-
E.
representsInJuniorCategory
Indicates that an entity serves as a representative or participant in a junior-level category within a given context or organization.
- 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_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 27, 2026, 12:13 a.m.