Triple
T21801112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jiyū-Minshutō Sōsai |
E538238
|
entity |
| Predicate | scriptForm |
P9329
|
FINISHED |
| Object | 自由民主党総裁 |
—
|
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: 自由民主党総裁 | Statement: [Jiyū-Minshutō Sōsai, scriptForm, 自由民主党総裁]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 自由民主党総裁 Context triple: [Jiyū-Minshutō Sōsai, scriptForm, 自由民主党総裁]
-
A.
立憲政友会総裁
立憲政友会総裁は、明治から昭和初期にかけて日本の政党政治を主導した立憲政友会の最高指導者として党運営と政権担当に大きな影響力を持った役職である。
-
B.
Secretary-General of the Liberal Democratic Party (Japan)
The Secretary-General of the Liberal Democratic Party (Japan) is a top executive party post responsible for organizational management, election strategy, and day-to-day political operations under the party president.
-
C.
自由民主党厚生労働部会長
自由民主党厚生労働部会長は、日本の自由民主党内で厚生労働政策を担当し、年金・医療・介護・労働など社会保障分野の政策立案や党内調整を主導する役職である。
-
D.
立憲民主党代表
立憲民主党代表は、日本の主要野党である立憲民主党の党務と方針を統括し、国政での党の顔として指導力を発揮する党首ポジションである。
-
E.
President of the Liberal Democratic Party (Japan)
chosen
The President of the Liberal Democratic Party (Japan) is the leader of Japan’s dominant conservative political party and typically serves as the country’s prime minister when the party holds a majority in the National Diet.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f077ff986081909c984cd190167640 |
completed | April 28, 2026, 9:03 a.m. |
Created at: April 16, 2026, 6:53 p.m.