Triple
T16206909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Saga |
E393350
|
entity |
| Predicate | eraNameUsed |
P2938
|
FINISHED |
| Object | Kōnin |
E1201312
|
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: Kōnin | Statement: [Emperor Saga, eraNameUsed, Kōnin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kōnin Context triple: [Emperor Saga, eraNameUsed, Kōnin]
-
A.
Kōnin
chosen
Kōnin was the 49th emperor of Japan, who reigned in the late 8th century and is known for helping stabilize the imperial court after a period of political turmoil.
-
B.
Kiyosu
Kiyosu is a city in central Japan known historically for Kiyosu Castle and its role as a political center during the Sengoku period.
-
C.
Bunkyū
Bunkyū was a Japanese era name of the late Edo period, spanning the early 1860s during the reign of Emperor Kōmei and marked by growing internal unrest and foreign pressure on Japan.
-
D.
Nitchō
Nitchō was a prominent early disciple and priest of the Japanese Buddhist reformer Nichiren, helping to spread and institutionalize Nichiren Buddhism in the 13th century.
-
E.
Bun'ei
Bun'ei was a Japanese era of the Kamakura period, notable for events such as the first Mongol invasion of Japan in 1274.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227101a3c819095ef40e50bf66433 |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ed13b40819096de333872225730 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:03 a.m.