Triple
T16180828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fédération Internationale de Motocyclisme |
E392677
|
entity |
| Predicate | numberOfContinentalUnions |
P122024
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Fédération Internationale de Motocyclisme, numberOfContinentalUnions, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfContinentalUnions Context triple: [Fédération Internationale de Motocyclisme, numberOfContinentalUnions, 6]
-
A.
numberOfUnionRepublicsAtDissolution
Indicates the total count of union republics that existed in a state at the time of its dissolution.
-
B.
associatedConfederationCount
Indicates the number of distinct confederations with which an entity is associated.
-
C.
numberOfOriginalNations
Indicates the count of distinct original nations associated with a given entity or context.
-
D.
countryOfUnion
Indicates that a given country is a member or constituent state of a specified union or supranational organization.
-
E.
confederationsRepresented
Indicates that one entity serves as an official representative or member of one or more confederations within a given context.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205c92b48190b7125dbbcff3662e |
completed | April 17, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:02 a.m.