Triple
T23091046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Champ Car World Series |
E575748
|
entity |
| Predicate | raceTypes |
P49218
|
FINISHED |
| Object | road courses |
—
|
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: road courses | Statement: [Champ Car World Series, raceTypes, road courses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceTypes Context triple: [Champ Car World Series, raceTypes, road courses]
-
A.
raceTypeDetail
chosen
Indicates the specific category or classification of a race, providing detailed information about the type of race involved in the relationship.
-
B.
raceCategory
Indicates the classification of an entity into a specific race or racial group within a defined categorization system.
-
C.
raceTypeStrength
Indicates the degree or category of physical or competitive strength associated with a particular race type in the relationship.
-
D.
raceTypeHosted
Indicates that a particular type of race is organized or held by a given host or organizing entity.
-
E.
racecourseType
Indicates the specific kind or classification of a racecourse associated with an entity.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da99bec81908ecadf8dab10d1b7 |
completed | April 29, 2026, 4:48 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:57 p.m.