Triple
T19129742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 郵政大臣 |
E468283
|
entity |
| Predicate | country |
P26
|
FINISHED |
| Object | 日本 |
—
|
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: 日本 | Statement: [郵政大臣, country, 日本]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 日本 Context triple: [郵政大臣, country, 日本]
-
A.
Japan
chosen
Japan is an East Asian island nation in the Pacific Ocean known for its advanced technology, rich cultural heritage, and major cities such as Tokyo, Osaka, and Kyoto.
-
B.
Japo
Japo is a small settlement located on Arno Atoll in the Marshall Islands.
-
C.
両国
両国 is a district in Tokyo, Japan, best known for its sumo culture and the Ryōgoku Kokugikan sumo stadium.
-
D.
日本・徳島県
日本・徳島県は四国東部に位置し、吉野川や鳴門海峡などの自然景観と阿波おどりで知られる日本の県である。
-
E.
Japan Eirin
Japan Eirin is Japan’s official film classification and rating organization, responsible for assigning age-appropriate ratings to movies released in the country.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3cf8d348190b27fc7d7d39f46f1 |
completed | April 20, 2026, 8:29 a.m. |
Created at: April 10, 2026, 12:05 p.m.