Triple
T21704829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fabio Quartararo |
E535745
|
entity |
| Predicate | firstMotoGPTitle |
P144994
|
FINISHED |
| Object | 2021 |
—
|
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: 2021 | Statement: [Fabio Quartararo, firstMotoGPTitle, 2021]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMotoGPTitle Context triple: [Fabio Quartararo, firstMotoGPTitle, 2021]
-
A.
motoOf
Indicates that something is the motto associated with a particular entity (such as an organization, place, or group).
-
B.
firstMajorSmartphoneTitleOf
Indicates that the subject is the title of the first major smartphone associated with the given entity.
-
C.
firstModel
Indicates that an entity is the initial or earliest model/version in a sequence or series of models.
-
D.
engineIntroduced
Indicates that a particular engine was first introduced or brought into use at a specific time or in a specific context.
-
E.
firstMassProductionProductName
Indicates the name of the product that was the first to be mass-produced by a given entity.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb52e4b84819095a24cc9fdca2b8a |
completed | April 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:46 p.m.