Triple
T35690584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cal Expo racetrack |
E1031276
|
entity |
| Predicate | primaryRacingSeason |
P55487
|
FINISHED |
| Object | winter-spring |
—
|
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: winter-spring | Statement: [Cal Expo racetrack, primaryRacingSeason, winter-spring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRacingSeason Context triple: [Cal Expo racetrack, primaryRacingSeason, winter-spring]
-
A.
originalSeasonStartRace
Indicates the race at which a season originally began before any later schedule changes or redefinitions.
-
B.
raceWinSeason
Indicates that an entity wins at least one race during a specified racing season.
-
C.
racingPeriod
chosen
Indicates the time span during which a racing event or competition takes place.
-
D.
raceNumberInSeason
Indicates the ordinal position of a specific race within the sequence of races in a given season.
-
E.
trainingSeason
Indicates the specific season or time period during which training activities or programs take place.
- 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.