Triple
T6209688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamato Plateau |
E138834
|
entity |
| Predicate | hasCityNearby |
P3883
|
FINISHED |
| Object | Sakurai |
E124705
|
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: Sakurai | Statement: [Yamato Plateau, hasCityNearby, Sakurai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sakurai Context triple: [Yamato Plateau, hasCityNearby, Sakurai]
-
A.
Sakurai
chosen
Sakurai is a historic city in Japan’s Nara Prefecture, known for its ancient temples and role in early Japanese history.
-
B.
Kogo Sakusen
Kogo Sakusen is the Japanese name for Operation Kogo, a World War II military operation.
-
C.
Jun John Sakurai
Jun John Sakurai was a prominent Japanese-American theoretical physicist renowned for his influential work in quantum mechanics and particle physics, as well as for authoring widely used graduate-level textbooks.
-
D.
Den Kenjirō
Den Kenjirō was a Japanese statesman and colonial administrator who served as Governor-General of Taiwan during the period of Japanese rule.
-
E.
Hyakuichi Shinron
Hyakuichi Shinron is a major philosophical work by Japanese thinker Nishi Amane that helped introduce and systematize Western philosophy and logic in modern Japan.
- 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0628850bc819080a26c5e05a1d29f |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f57821c8190bd7a5f6bf286ab09 |
completed | March 23, 2026, 4:50 p.m. |
Created at: March 22, 2026, 4:21 p.m.