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.