Triple
T15248125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 品川区 |
E364438
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object |
旧荏原区
旧荏原区 was a former ward of Tokyo that existed before World War II–era administrative reorganizations and was later incorporated into modern Shinagawa Ward.
|
E1145707
|
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: 旧荏原区 | Statement: [品川区, formedByMergerOf, 旧荏原区]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 旧荏原区 Context triple: [品川区, formedByMergerOf, 旧荏原区]
-
A.
小石川区
小石川区 was a former ward of Tokyo that existed before the 1947 reorganization of the city’s wards into the present-day Bunkyō ward.
-
B.
荒川区
荒川区は、東京都東部に位置し、下町情緒と住宅地・商業地が混在する特別区の一つです。
-
C.
墨田区
墨田区 is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its traditional shitamachi downtown atmosphere.
-
D.
浦和区
浦和区 is a central ward of Saitama City in Saitama Prefecture, Japan, known as an administrative, educational, and cultural hub with a long history as the former city of Urawa.
-
E.
左京区
左京区 is a ward in northeastern Kyoto City known for its historic temples, cultural institutions, and natural scenery including parts of the Higashiyama and Kitayama mountains.
- 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: 旧荏原区 Triple: [品川区, formedByMergerOf, 旧荏原区]
Generated description
旧荏原区 was a former ward of Tokyo that existed before World War II–era administrative reorganizations and was later incorporated into modern Shinagawa Ward.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 旧荏原区 Target entity description: 旧荏原区 was a former ward of Tokyo that existed before World War II–era administrative reorganizations and was later incorporated into modern Shinagawa Ward.
-
A.
小石川区
小石川区 was a former ward of Tokyo that existed before the 1947 reorganization of the city’s wards into the present-day Bunkyō ward.
-
B.
荒川区
荒川区は、東京都東部に位置し、下町情緒と住宅地・商業地が混在する特別区の一つです。
-
C.
墨田区
墨田区 is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its traditional shitamachi downtown atmosphere.
-
D.
浦和区
浦和区 is a central ward of Saitama City in Saitama Prefecture, Japan, known as an administrative, educational, and cultural hub with a long history as the former city of Urawa.
-
E.
左京区
左京区 is a ward in northeastern Kyoto City known for its historic temples, cultural institutions, and natural scenery including parts of the Higashiyama and Kitayama mountains.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f4f9d48190b96a7e0c6993cd69 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd491cd881908bad9660af9b6b8f |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69fedf6ee3f081909553078cd3e9d243 |
completed | May 9, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fee0016a088190ad87268e035f677e |
completed | May 9, 2026, 7:19 a.m. |
Created at: April 10, 2026, 3:13 a.m.