Triple
T19958138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIM World Championship calendar until 1976 |
E479739
|
entity |
| Predicate | includesRaceFormat |
P120070
|
FINISHED |
| Object | multi-lap road races |
—
|
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: multi-lap road races | Statement: [FIM World Championship calendar until 1976, includesRaceFormat, multi-lap road races]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesRaceFormat Context triple: [FIM World Championship calendar until 1976, includesRaceFormat, multi-lap road races]
-
A.
hasRaceFormat
chosen
Indicates that an entity is associated with, or characterized by, a particular race format or type of race structure.
-
B.
raceDayIncludes
Indicates that a particular race day schedule or event set contains or encompasses a specific race or racing-related activity.
-
C.
appearsInRace
Indicates that an entity participates as a competitor or entrant in a specific race event.
-
D.
hasRaceClass
Indicates that an entity participates in or is associated with a particular race classification or category.
-
E.
raceTypeDetail
Indicates the specific category or classification of a race, providing detailed information about the type of race involved in the relationship.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af1b32c81908ebe0e2570ec06a9 |
completed | April 20, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.