Triple
T15046639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koizumi family |
E379243
|
entity |
| Predicate | typicalOfficeLevel |
P92411
|
FINISHED |
| Object | national-level 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: national-level politics | Statement: [Koizumi family, typicalOfficeLevel, national-level politics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOfficeLevel Context triple: [Koizumi family, typicalOfficeLevel, national-level politics]
-
A.
typicalSeniorityLevel
chosen
Indicates the usual or most common rank or seniority level associated with an entity in a given context.
-
B.
worksWithOffice
Indicates that an entity collaborates or is professionally associated with a particular office or office-based organization.
-
C.
officeUnder
Indicates that one office is subordinate to, managed by, or organizationally within the authority of another office.
-
D.
officeItAbbreviatesRole
Indicates that an office title or designation serves as an abbreviation for a particular role or position.
-
E.
controlledOffice
Indicates that one entity has authority over, manages, or directs the operations of a particular office or administrative location.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda8e64e48190873104a02a676ff3 |
completed | April 15, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69de9a69d7848190b2b4662dd30f20e9 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 3 a.m.