Triple
T32424782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese Grand Prix |
E828547
|
entity |
| Predicate | hasOfficialTimingPartner |
P180823
|
FINISHED |
| Object | Rolex |
—
|
NE NERFINISHED |
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: Rolex | Statement: [Japanese Grand Prix, hasOfficialTimingPartner, Rolex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialTimingPartner Context triple: [Japanese Grand Prix, hasOfficialTimingPartner, Rolex]
-
A.
hasOfficialDuration
Indicates the formally defined length of time associated with an event, process, or entity.
-
B.
timingPartner
Indicates that one entity serves as a temporal counterpart or reference point for another, aligning their actions or events in time.
-
C.
hasPartnerInSport
Indicates that one entity has another entity as a partner with whom they jointly participate in a sport or sporting activity.
-
D.
hasOfficial
Indicates that an entity is formally associated with, represented by, or served by a designated official or office-holder.
-
E.
hasNetworkPartner
Indicates that an entity is connected to another entity through a formal or recognized network partnership relationship.
- 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_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
| PDg | Predicate description generation | batch_69f7516c538481908c6e55cf76add098 |
completed | May 3, 2026, 1:45 p.m. |
Created at: May 1, 2026, 12:54 a.m.