Triple
T33371984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 第1次安倍内閣 |
E854515
|
entity |
| Predicate | 内閣官房長官 |
P134220
|
FINISHED |
| Object | 塩崎恭久 |
—
|
NE NERFINISHED |
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: 塩崎恭久 | Statement: [第1次安倍内閣, 内閣官房長官, 塩崎恭久]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 内閣官房長官 Context triple: [第1次安倍内閣, 内閣官房長官, 塩崎恭久]
-
A.
deputyPremier
Indicates that one entity holds the position of deputy premier in relation to a specified political jurisdiction or governing body.
-
B.
ministerIs
chosen
Indicates that one entity serves in the role or capacity of a minister in relation to another entity.
-
C.
firstMinister
Indicates that one entity serves as the first minister (head of government or chief minister) of another entity, such as a country, region, or jurisdiction.
-
D.
第何代内閣総理大臣
Indicates the ordinal position of a person in the sequence of individuals who have served as Prime Minister (e.g., "the Nth Prime Minister").
-
E.
deputyPrimeMinister
Indicates that one entity serves as the deputy prime minister (second-in-command in the government’s executive leadership) of another political body or jurisdiction.
- 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_69f3496ca10c8190908640d18fa00832 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:35 a.m.