Triple
T35753308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Grand Prix |
E1033372
|
entity |
| Predicate | hasRaceDistanceType |
P27047
|
FINISHED |
| Object | laps-based |
—
|
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: laps-based | Statement: [Spanish Grand Prix, hasRaceDistanceType, laps-based]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRaceDistanceType Context triple: [Spanish Grand Prix, hasRaceDistanceType, laps-based]
-
A.
hasRaceDayType
Indicates the specific category or type assigned to a race day (e.g., practice, qualifying, main event) within a schedule or event structure.
-
B.
raceDistanceType
chosen
Indicates the specific type or category of distance over which a race is conducted.
-
C.
hasRaceFormat
Indicates that an entity is associated with, or characterized by, a particular race format or type of race structure.
-
D.
hasRaceLocation
Indicates that an event or entity is associated with the specific location where a race takes place.
-
E.
hasRaceClass
Indicates that an entity participates in or is associated with a particular race classification or category.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
Created at: May 3, 2026, 4:06 p.m.