Triple
T1666145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese Grand Prix |
E36015
|
entity |
| Predicate | hasSupportRaces |
P30570
|
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: [Chinese Grand Prix, hasSupportRaces, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSupportRaces Context triple: [Chinese Grand Prix, hasSupportRaces, yes]
-
A.
canBeOfAnyRace
Indicates that the subject is not restricted to a specific race and may belong to any racial group.
-
B.
supportsChampionshipsOf
Indicates that one entity provides backing, resources, or endorsement for the championships associated with another entity.
-
C.
ranksAsSuperiorRace
Indicates that one group is regarded or treated as inherently superior in status, value, or worth compared to another group.
-
D.
hasRacecourse
Indicates that an entity possesses, contains, or is associated with a racecourse facility or track.
-
E.
hasSupporter
Indicates that one entity supports, endorses, or backs another entity.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa994f92b0819084ee2f6a672334b9 |
completed | March 6, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69a907d2475c8190b7ec7dccd3335eb1 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a94192abc0819092fc00fef9d53bcb |
completed | March 5, 2026, 8:40 a.m. |
Created at: March 4, 2026, 7:29 p.m.