Triple
T28755273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chang International Circuit |
E731652
|
entity |
| Predicate | motoGPRoundName |
P133055
|
FINISHED |
| Object | Thailand Grand Prix |
—
|
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: Thailand Grand Prix | Statement: [Chang International Circuit, motoGPRoundName, Thailand Grand Prix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motoGPRoundName Context triple: [Chang International Circuit, motoGPRoundName, Thailand Grand Prix]
-
A.
firstMotoGPTitle
Indicates the event or season in which a rider wins their first MotoGP championship title.
-
B.
motoOf
Indicates that something is the motto associated with a particular entity (such as an organization, place, or group).
-
C.
tookFirstMotoGPPoleFor
Indicates that an entity achieved their first-ever MotoGP pole position while representing or associated with another entity.
-
D.
hasMotoGPPresence
Indicates that an entity participates in, is represented in, or otherwise has an active involvement or presence within MotoGP.
-
E.
grandPrixName
chosen
Indicates the official name assigned to a particular Grand Prix event.
- 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_69f043ed68a881909e858a06bab7a247 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f657f9d5248190b6f3f82f20f069a3 |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f651ada6048190a7b4a6981565dc3a |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 6:09 a.m.