Triple
T12151779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maebashi |
E289472
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object |
前橋市
前橋市は、群馬県の県庁所在地であり、利根川沿いに位置する内陸工業都市です。
|
E966926
|
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: 前橋市 | Statement: [Maebashi, hasJapaneseName, 前橋市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 前橋市 Context triple: [Maebashi, hasJapaneseName, 前橋市]
-
A.
Ibaraki City
Ibaraki City is a suburban city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
-
B.
Utsunomiya
Utsunomiya is a city in Tochigi Prefecture, Japan, known as a regional commercial center and for its specialty gyoza (dumplings).
-
C.
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.
-
D.
Yonezawa, Yamagata
Yonezawa, Yamagata is a city in Yamagata Prefecture, Japan, known for its historic castle town heritage, Yonezawa beef, and connections to the Uesugi samurai clan.
-
E.
Ichinoseki, Iwate
Ichinoseki, Iwate is a city in southern Iwate Prefecture, Japan, known as a regional hub with historical sites and access to scenic areas such as the Geibi Gorge.
- 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: 前橋市 Triple: [Maebashi, hasJapaneseName, 前橋市]
Generated description
前橋市は、群馬県の県庁所在地であり、利根川沿いに位置する内陸工業都市です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 前橋市 Target entity description: 前橋市は、群馬県の県庁所在地であり、利根川沿いに位置する内陸工業都市です。
-
A.
Ibaraki City
Ibaraki City is a suburban city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
-
B.
Utsunomiya
Utsunomiya is a city in Tochigi Prefecture, Japan, known as a regional commercial center and for its specialty gyoza (dumplings).
-
C.
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.
-
D.
Yonezawa, Yamagata
Yonezawa, Yamagata is a city in Yamagata Prefecture, Japan, known for its historic castle town heritage, Yonezawa beef, and connections to the Uesugi samurai clan.
-
E.
Ichinoseki, Iwate
Ichinoseki, Iwate is a city in southern Iwate Prefecture, Japan, known as a regional hub with historical sites and access to scenic areas such as the Geibi Gorge.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915ae736c8190aaab05efb93c5854 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f69aa2e88190aaa58468571d6dad |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f601e0777081909e1212436680a10d |
completed | May 2, 2026, 1:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f602a21f948190849839301f49d55a |
completed | May 2, 2026, 1:56 p.m. |
Created at: April 8, 2026, 9:49 p.m.