Triple
T12535133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamato area |
E299667
|
entity |
| Predicate | contains |
P35
|
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 area, contains, Sakurai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sakurai Context triple: [Yamato area, contains, 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.
Saeki no Kuramoto
Saeki no Kuramoto is a historical Japanese figure traditionally credited with establishing the famous Itsukushima Shrine on Miyajima Island.
-
D.
Takuan Sōhō
Takuan Sōhō was a prominent 17th-century Japanese Zen Buddhist monk, philosopher, and calligrapher known for his influential writings on Zen and the martial arts and his role as an advisor to samurai and shogunate leaders.
-
E.
Den Kenjirō
Den Kenjirō was a Japanese statesman and colonial administrator who served as Governor-General of Taiwan during the period of Japanese rule.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546d3b2081908d3e0659f8f13678 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65577e3388190b6c1c2e8dee7f6ac |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.