Triple
T12413928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan Innovation Party |
E296586
|
entity |
| Predicate | seeksToAppealTo |
P30639
|
FINISHED |
| Object | reform-minded voters |
—
|
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: reform-minded voters | Statement: [Japan Innovation Party, seeksToAppealTo, reform-minded voters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seeksToAppealTo Context triple: [Japan Innovation Party, seeksToAppealTo, reform-minded voters]
-
A.
hasAppealsTo
Indicates that one entity formally challenges or seeks review of a decision, judgment, or outcome through another entity or process.
-
B.
soughtTo
Indicates that one entity attempted or intended to obtain, achieve, or bring about another entity or outcome.
-
C.
appealsFor
Indicates that one entity formally requests support, intervention, or a favorable decision from another entity.
-
D.
alsoAppealsTo
Indicates that something attracts, interests, or is pleasing to an additional person, group, or audience beyond the primary one.
-
E.
seeksToInfluence
chosen
Indicates an entity’s intention or effort to affect, shape, or alter another entity’s behavior, decisions, or state.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.