Triple
T5677572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LDP President |
E125123
|
entity |
| Predicate | typicalOfficeholder |
P9583
|
FINISHED |
| Object | member of the National Diet of Japan |
—
|
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: member of the National Diet of Japan | Statement: [LDP President, typicalOfficeholder, member of the National Diet of Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOfficeholder Context triple: [LDP President, typicalOfficeholder, member of the National Diet of Japan]
-
A.
officeHolderUsually
Indicates that an entity is the person who typically or customarily holds a particular office or position.
-
B.
officeHolderOf
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
-
C.
officeHoldersAreUsually
chosen
Indicates that individuals holding a particular office or position are typically or generally characterized by a specified property or role.
-
D.
officeHolderMayBe
Indicates that a specified person is permitted or eligible to hold a particular office or position.
-
E.
hasOfficeHolderType
Indicates that an office or position is associated with a specific type or category of office holder (e.g., elected official, appointed official).
- 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025303860819093e51f176babed71 |
completed | March 22, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69c021bc3894819084f37d14ba4b2644 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:43 p.m.