Triple
T3844997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Kanmu |
E93547
|
entity |
| Predicate | eraName |
P2938
|
FINISHED |
| Object |
Enryaku
Enryaku was a Japanese era during the reign of Emperor Kanmu, notable for major political reforms and the early development of Kyoto as the imperial capital.
|
E393349
|
NE FINISHED |
How this triple was built (4 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: Enryaku | Statement: [Emperor Kanmu, eraName, Enryaku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enryaku Context triple: [Emperor Kanmu, eraName, Enryaku]
-
A.
Arinori
Arinori was a given name of Mori Arinori, a prominent Meiji-era Japanese statesman and reformer known for modernizing Japan’s education system.
-
B.
Seishirō
Seishirō is a Japanese given name commonly used for male individuals.
-
C.
Akizuki
Akizuki was a Japanese Akizuki-class destroyer of the Imperial Japanese Navy that served in World War II before being sunk in the Battle off Cape Engaño in 1944.
-
D.
Tadaoka
Tadaoka is a small coastal town in Osaka Prefecture, Japan, known for being one of the smallest municipalities in the country by area.
-
E.
Katsuragi
Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Enryaku Triple: [Emperor Kanmu, eraName, Enryaku]
Generated description
Enryaku was a Japanese era during the reign of Emperor Kanmu, notable for major political reforms and the early development of Kyoto as the imperial capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Enryaku Target entity description: Enryaku was a Japanese era during the reign of Emperor Kanmu, notable for major political reforms and the early development of Kyoto as the imperial capital.
-
A.
Arinori
Arinori was a given name of Mori Arinori, a prominent Meiji-era Japanese statesman and reformer known for modernizing Japan’s education system.
-
B.
Seishirō
Seishirō is a Japanese given name commonly used for male individuals.
-
C.
Akizuki
Akizuki was a Japanese Akizuki-class destroyer of the Imperial Japanese Navy that served in World War II before being sunk in the Battle off Cape Engaño in 1944.
-
D.
Tadaoka
Tadaoka is a small coastal town in Osaka Prefecture, Japan, known for being one of the smallest municipalities in the country by area.
-
E.
Katsuragi
Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
- F. None of above. chosen
Provenance (5 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb655c081909ec5ff3d09eb4778 |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b504122cb08190ba97ce14e8d891fc |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b504a31de08190b543549a2b05b038 |
completed | March 14, 2026, 6:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5084c8bd48190b7afc80bed196c90 |
completed | March 14, 2026, 7:03 a.m. |
Created at: March 9, 2026, 3:18 p.m.