Triple
T26968334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 麻生派（志公会） |
E679234
|
entity |
| Predicate | 主要メンバーの役職傾向 |
P161393
|
FINISHED |
| Object | 財務相経験者が多い |
—
|
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: 財務相経験者が多い | Statement: [麻生派（志公会）, 主要メンバーの役職傾向, 財務相経験者が多い]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 主要メンバーの役職傾向 Context triple: [麻生派（志公会）, 主要メンバーの役職傾向, 財務相経験者が多い]
-
A.
typicalMembers
Indicates that the related entities are representative or characteristic members of a larger group, category, or class.
-
B.
lineupRole
Indicates the specific role or position an entity holds within a lineup or ordered group.
-
C.
rankingRole
Indicates that one entity holds a specific position or level in an ordered hierarchy or ranking relative to others.
-
D.
hasStructureRole
Indicates that an entity serves a specific functional or positional role within a larger structure or organizational arrangement.
-
E.
hasRoleInFormationOf
Indicates that an entity plays a specific role or function in the creation, development, or establishment of another entity or structure.
- 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621233f2c81908c237f20c50c2ba3 |
completed | May 2, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 27, 2026, 6:37 a.m.