Triple
T4478979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zenko Suzuki |
E100079
|
entity |
| Predicate | partyFaction |
P25766
|
FINISHED |
| Object | Liberal Democratic Party mainstream factions |
—
|
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: Liberal Democratic Party mainstream factions | Statement: [Zenko Suzuki, partyFaction, Liberal Democratic Party mainstream factions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partyFaction Context triple: [Zenko Suzuki, partyFaction, Liberal Democratic Party mainstream factions]
-
A.
courtFaction
Indicates a relationship where an entity is aligned with, belongs to, or is associated with a particular political or social faction within a court or ruling body.
-
B.
hasFaction
chosen
Indicates that an entity is affiliated with, belongs to, or is represented by a particular faction or group.
-
C.
leaderParty
Indicates that a given political party is the one to which a specified leader belongs or is affiliated.
-
D.
hasOpposingFaction
Indicates that one faction stands in opposition or conflict to another faction.
-
E.
partyComposition
Indicates how the members or elements of a group or party are arranged, distributed, or combined to form that party as a whole.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35728ed508190ba0e882fa62d8848 |
completed | March 13, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69b3563d63008190816e37027e761375 |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:35 p.m.