Triple
T6897243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Kōmei |
E159399
|
entity |
| Predicate | eraNameUsedDuringReign |
P55549
|
FINISHED |
| Object |
Keiō
Keiō was the final Japanese era of the Edo period, spanning the turbulent years leading up to the Meiji Restoration.
|
E626488
|
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: Keiō | Statement: [Emperor Kōmei, eraNameUsedDuringReign, Keiō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keiō Context triple: [Emperor Kōmei, eraNameUsedDuringReign, Keiō]
-
A.
Keihō
Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
-
B.
Meijō
Meijō is the Japanese name for Nagoya Castle, a historic and iconic samurai-era fortress in Nagoya, Japan.
-
C.
Kyodai
Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
-
D.
Kichijōji
Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
-
E.
Kansai Kūkō
Kansai Kūkō is a major international airport built on an artificial island in Osaka Bay, serving the Kansai region of Japan.
- 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: Keiō Triple: [Emperor Kōmei, eraNameUsedDuringReign, Keiō]
Generated description
Keiō was the final Japanese era of the Edo period, spanning the turbulent years leading up to the Meiji Restoration.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keiō Target entity description: Keiō was the final Japanese era of the Edo period, spanning the turbulent years leading up to the Meiji Restoration.
-
A.
Keihō
Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
-
B.
Meijō
Meijō is the Japanese name for Nagoya Castle, a historic and iconic samurai-era fortress in Nagoya, Japan.
-
C.
Kyodai
Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
-
D.
Kichijōji
Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
-
E.
Kansai Kūkō
Kansai Kūkō is a major international airport built on an artificial island in Osaka Bay, serving the Kansai region of Japan.
- 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d95c44a48190876d62749411bbb6 |
completed | March 27, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748e5182c81908ed01d1091933d09 |
completed | March 28, 2026, 3:20 a.m. |
| NEDg | Description generation | batch_69c749657f14819091e01c3cb6a0cdc4 |
completed | March 28, 2026, 3:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c749e8e1588190886fa72e0661d673 |
completed | March 28, 2026, 3:24 a.m. |
Created at: March 27, 2026, 2:24 p.m.