Triple
T5716481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vice President of the Liberal Democratic Party (Japan) |
E126035
|
entity |
| Predicate | typicalPowerLevel |
P63994
|
FINISHED |
| Object | high influence within party |
—
|
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: high influence within party | Statement: [Vice President of the Liberal Democratic Party (Japan), typicalPowerLevel, high influence within party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPowerLevel Context triple: [Vice President of the Liberal Democratic Party (Japan), typicalPowerLevel, high influence within party]
-
A.
powerLevel
Indicates the degree or intensity of power or strength possessed by an entity in a given context.
-
B.
typicalEquipmentLevel
Indicates the usual or standard amount or quality of equipment associated with an entity or situation.
-
C.
energyLevel
Indicates the amount or intensity of energy possessed, produced, or exhibited by an entity in a given state or context.
-
D.
supportsPowerLevel
Indicates that one entity is capable of providing or sustaining the required power level for another entity or operation.
-
E.
typicalLevelOfInfluence
chosen
Indicates the usual degree or strength of influence one entity exerts over another or within a given context.
- 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_69c0082e3d548190950169847b43043b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c47f4c81909e6849c3be3e951c |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:46 p.m.