Triple
T1081227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the Liberal Democratic Party (Japan) |
E23948
|
entity |
| Predicate | isKeyPositionIn |
P20548
|
FINISHED |
| Object | Japanese party politics |
—
|
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: Japanese party politics | Statement: [President of the Liberal Democratic Party (Japan), isKeyPositionIn, Japanese party politics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isKeyPositionIn Context triple: [President of the Liberal Democratic Party (Japan), isKeyPositionIn, Japanese party politics]
-
A.
isPositionOf
Indicates that one entity represents the spatial or organizational position or location of another entity.
-
B.
isKeyNodeIn
chosen
Indicates that a node serves as a primary or critical element within a specified structure, system, or context.
-
C.
isKeyRegionFor
Indicates that one region plays a central or strategically important role in relation to a specified process, function, or larger area.
-
D.
keyPosition
Indicates the specific location or placement of a key within a defined space or system.
-
E.
hasPositionOn
Indicates that one entity occupies or holds a specific role, job, or spatial location relative to another entity.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b946af788190b400644a2dec68c3 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b73f4310819086281f8ec67d1a32 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.