Triple
T30521558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WorldSSP300 |
E776704
|
entity |
| Predicate | typicalRaceVenueType |
P69994
|
FINISHED |
| Object | permanent road racing circuits |
—
|
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: permanent road racing circuits | Statement: [WorldSSP300, typicalRaceVenueType, permanent road racing circuits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRaceVenueType Context triple: [WorldSSP300, typicalRaceVenueType, permanent road racing circuits]
-
A.
raceTypeHosted
Indicates that a particular type of race is organized or held by a given host or organizing entity.
-
B.
racecourseType
chosen
Indicates the specific kind or classification of a racecourse associated with an entity.
-
C.
typicalVenueStadium
Indicates that the usual or characteristic venue for the referenced activity, event, or entity is a stadium.
-
D.
isMotorSportEventIn
Indicates that a particular motorsport event takes place within a specified location or venue.
-
E.
styleOfRacing
Indicates the specific manner or approach in which an entity participates in or performs racing.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:17 p.m.