Triple
T750696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Representatives (Japan) |
E15440
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Shūgiin |
E128779
|
NE 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: Shūgiin | Statement: [House of Representatives (Japan), alsoKnownAs, Shūgiin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shūgiin Context triple: [House of Representatives (Japan), alsoKnownAs, Shūgiin]
-
A.
Shūgiin
chosen
Shūgiin is the lower house of Japan’s National Diet, responsible for passing legislation, approving the budget, and selecting the prime minister.
-
B.
Shōhō
Shōhō was a Japanese light aircraft carrier of the Imperial Japanese Navy during World War II, notable for being the first Japanese carrier sunk in the war during the Battle of the Coral Sea.
-
C.
Koizumi
Koizumi is a Japanese surname most prominently associated with Junichiro Koizumi, a former Prime Minister of Japan known for his reformist policies.
-
D.
Shinsen
Shinsen is a neighborhood in Tokyo’s Shibuya ward known for its residential streets, local eateries, and proximity to the bustling Shibuya Station area.
-
E.
Chō
Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a493599a0081908da65f3407af1ef2 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64adf2c81908e48090be35dd9d9 |
completed | March 1, 2026, 8:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5e92d6b0819091fad60317eee455 |
completed | March 7, 2026, 5:21 p.m. |
Created at: March 1, 2026, 7:37 p.m.