Triple
T4412867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thunder Snow |
E94890
|
entity |
| Predicate | hasRacingRecord |
P49213
|
FINISHED |
| Object | Group 1 level in Europe and Dubai |
—
|
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: Group 1 level in Europe and Dubai | Statement: [Thunder Snow, hasRacingRecord, Group 1 level in Europe and Dubai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRacingRecord Context triple: [Thunder Snow, hasRacingRecord, Group 1 level in Europe and Dubai]
-
A.
raceWins
Indicates that one participant wins or finishes ahead of another in a race or competitive event.
-
B.
hasRacecourse
Indicates that an entity possesses, contains, or is associated with a racecourse facility or track.
-
C.
isAllTimeRecordHolderFor
Indicates that an entity holds the highest or best performance record of all time for a particular category, event, or metric.
-
D.
hasRaceClass
chosen
Indicates that an entity participates in or is associated with a particular race classification or category.
-
E.
hasRace
Indicates that an entity possesses or is characterized by a particular race or racial classification.
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e7b30c819082ee781dd202dcc4 |
completed | March 13, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69b34f5d0c54819085c08533bb58030a |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:29 p.m.