Triple
T32424775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese Grand Prix |
E828547
|
entity |
| Predicate | hasHostedWetRaces |
P192929
|
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: [Japanese Grand Prix, hasHostedWetRaces, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHostedWetRaces Context triple: [Japanese Grand Prix, hasHostedWetRaces, yes]
-
A.
hasHostedSport
Indicates that a place or organization has served as the venue or organizer for one or more sporting events.
-
B.
hasHeldRacesInCity
Indicates that an entity has organized or conducted races that took place within a particular city.
-
C.
hasHostedVenue
Indicates that a particular venue has served as the location for hosting a specific event or activity.
-
D.
heldRacesIn
Indicates that an entity organized or hosted races at a particular location or event.
-
E.
hasInshoreRaces
Indicates that an entity conducts or includes races that take place in inshore or nearshore waters.
- F. None of above. chosen
Provenance (4 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_69f3491b28bc8190b75cea7a507f337b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69fd328298ac8190b6bd5ded7dca270d |
completed | May 8, 2026, 12:46 a.m. |
Created at: May 1, 2026, 12:54 a.m.