Triple
T16266437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moto3 |
E394886
|
entity |
| Predicate | categoryWeight |
P76145
|
FINISHED |
| Object | lightweight class |
—
|
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: lightweight class | Statement: [Moto3, categoryWeight, lightweight class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryWeight Context triple: [Moto3, categoryWeight, lightweight class]
-
A.
massCategory
chosen
Indicates the classification of an entity based on its mass into a defined category or range.
-
B.
colorWeight
Indicates a relationship where a specific color is associated with a particular weight, intensity, or importance value.
-
C.
وزن
Indicates a relationship where one entity has, measures, or is characterized by a certain weight or mass.
-
D.
weightStandardInfluencedBy
Indicates that a weight standard is affected, shaped, or determined by another factor, standard, or influence.
-
E.
sectorWeighting
Indicates the proportion or emphasis assigned to a particular sector within a broader portfolio, index, or classification.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c839788190b974d1d0d2525b88 |
completed | April 17, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69e219f259e88190bf49d8408c04178e |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:05 a.m.