Triple
T9153366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kato |
E219644
|
entity |
| Predicate | isRomanizationOf |
P2508
|
FINISHED |
| Object |
加東
加東 is a Japanese place or family name commonly romanized as "Kato" or "Katō."
|
E779948
|
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: 加東 | Statement: [Kato, isRomanizationOf, 加東]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 加東 Context triple: [Kato, isRomanizationOf, 加東]
-
A.
Nishi-Okano
Nishi-Okano is a notable neighborhood within Nishi Ward in the city of Yokohama, Japan.
-
B.
Moriyama
Moriyama is a Japanese city located in Shiga Prefecture, known for its position near Lake Biwa and its blend of residential areas and historical sites.
-
C.
Matsuda
Matsuda is a small town in Kanagawa Prefecture, Japan, known for its scenic views of Mount Fuji and seasonal flower festivals.
-
D.
Kawaguchi
Kawaguchi is a major commuter city in the Greater Tokyo area of Japan, located just north of Tokyo in Saitama Prefecture.
-
E.
Wakamatsu
Wakamatsu is a ward in the city of Kitakyushu, Japan, known historically as a port and industrial area on the northern coast of Kyushu.
- 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: 加東 Triple: [Kato, isRomanizationOf, 加東]
Generated description
加東 is a Japanese place or family name commonly romanized as "Kato" or "Katō."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 加東 Target entity description: 加東 is a Japanese place or family name commonly romanized as "Kato" or "Katō."
-
A.
Nishi-Okano
Nishi-Okano is a notable neighborhood within Nishi Ward in the city of Yokohama, Japan.
-
B.
Moriyama
Moriyama is a Japanese city located in Shiga Prefecture, known for its position near Lake Biwa and its blend of residential areas and historical sites.
-
C.
Matsuda
Matsuda is a small town in Kanagawa Prefecture, Japan, known for its scenic views of Mount Fuji and seasonal flower festivals.
-
D.
Kawaguchi
Kawaguchi is a major commuter city in the Greater Tokyo area of Japan, located just north of Tokyo in Saitama Prefecture.
-
E.
Wakamatsu
Wakamatsu is a ward in the city of Kitakyushu, Japan, known historically as a port and industrial area on the northern coast of Kyushu.
- 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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca96e323881909cbf4d6708f24f79 |
completed | April 1, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d04846544481909012f5c7fbbf3b0a |
completed | April 3, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_69d048dcd7448190bee7509495e964eb |
completed | April 3, 2026, 11:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d049b6a0188190b52f833795a8ad05 |
completed | April 3, 2026, 11:13 p.m. |
Created at: March 30, 2026, 7:20 p.m.