Triple
T19969625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manx Grand Prix |
E480034
|
entity |
| Predicate | numberOfLapsVariesByClass |
P138073
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Manx Grand Prix, numberOfLapsVariesByClass, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLapsVariesByClass Context triple: [Manx Grand Prix, numberOfLapsVariesByClass, true]
-
A.
typicalRaceDistanceLaps
Indicates the usual number of laps that constitute the standard race distance for a given racing event or category.
-
B.
numberOfRaces
Indicates the total count of races associated with a given entity or event.
-
C.
typicalRaceLengthCategory
Indicates the usual distance range or length classification that a race is most commonly run at.
-
D.
distancePerRace
Indicates the total distance covered in a single race event or instance.
-
E.
hasLapStructure
Indicates that an entity possesses a lap-like structural configuration or component as part of its overall form or design.
- F. None of above. chosen
Provenance (4 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_69e65bc7c2fc81909b89c549a5f99e4c |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:54 p.m.