Triple
T19958029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supersport motorcycle |
E479736
|
entity |
| Predicate | oftenSubjectTo |
P65116
|
FINISHED |
| Object | higher insurance premiums |
—
|
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: higher insurance premiums | Statement: [Supersport motorcycle, oftenSubjectTo, higher insurance premiums]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenSubjectTo Context triple: [Supersport motorcycle, oftenSubjectTo, higher insurance premiums]
-
A.
isSubjectTo
Indicates that one entity is governed, affected, or constrained by the authority, rules, conditions, or influence of another entity.
-
B.
oftenHeldToBe
Indicates that something is frequently regarded, considered, or believed to be a certain way by many people or in many contexts.
-
C.
decisionsSubjectTo
Indicates that certain decisions are constrained by, dependent on, or must comply with specified conditions, approvals, or oversight.
-
D.
oftenTargetedBy
Indicates that an entity is frequently chosen or subjected as the object of another entity’s actions, attention, or attacks.
-
E.
oftenUndergo
chosen
Indicates that an entity frequently experiences, is subjected to, or passes through a particular process, action, or change.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af1b32c81908ebe0e2570ec06a9 |
completed | April 20, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.