Triple
T10326101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iwate Prefecture |
E242765
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Hanamaki
Hanamaki is a city in northeastern Japan known for its hot springs, rural landscapes, and as the birthplace of writer Kenji Miyazawa.
|
E1005231
|
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: Hanamaki | Statement: [Iwate Prefecture, containsCity, Hanamaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanamaki Context triple: [Iwate Prefecture, containsCity, Hanamaki]
-
A.
Matsudo
Matsudo is a city in Chiba Prefecture, Japan, located in the Greater Tokyo Area and functioning largely as a residential and commercial suburb of Tokyo.
-
B.
Maishima
Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
-
C.
Ōgaki
Ōgaki is a former municipality in Hiroshima Prefecture, Japan, that was incorporated into the city of Etajima.
-
D.
Marugame
Marugame is a coastal city in Japan’s Kagawa Prefecture, known for Marugame Castle and its traditional uchiwa (paper fans) craftsmanship.
-
E.
Higashikawa
Higashikawa is a town in Hokkaido, Japan, known as a gateway to the Daisetsuzan mountain range and for its scenic natural landscapes.
- 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: Hanamaki Triple: [Iwate Prefecture, containsCity, Hanamaki]
Generated description
Hanamaki is a city in northeastern Japan known for its hot springs, rural landscapes, and as the birthplace of writer Kenji Miyazawa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hanamaki Target entity description: Hanamaki is a city in northeastern Japan known for its hot springs, rural landscapes, and as the birthplace of writer Kenji Miyazawa.
-
A.
Matsudo
Matsudo is a city in Chiba Prefecture, Japan, located in the Greater Tokyo Area and functioning largely as a residential and commercial suburb of Tokyo.
-
B.
Maishima
Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
-
C.
Ōgaki
Ōgaki is a former municipality in Hiroshima Prefecture, Japan, that was incorporated into the city of Etajima.
-
D.
Marugame
Marugame is a coastal city in Japan’s Kagawa Prefecture, known for Marugame Castle and its traditional uchiwa (paper fans) craftsmanship.
-
E.
Higashikawa
Higashikawa is a town in Hokkaido, Japan, known as a gateway to the Daisetsuzan mountain range and for its scenic natural landscapes.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cd76348190b93562112300acfc |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68e99c2608190b923ca8a9178fea2 |
completed | May 2, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69f69061011c81908cb045925cfefdd7 |
completed | May 3, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69138b40881909e9c74d6d922e1f3 |
completed | May 3, 2026, 12:05 a.m. |
Created at: April 6, 2026, 11:51 a.m.