Triple

T1767851
Position Surface form Disambiguated ID Type / Status
Subject Adachi E38804 entity
Predicate contains P35 FINISHED
Object Nishiarai
Nishiarai is a neighborhood in Tokyo’s Adachi ward known for its historic temples, shopping streets, and residential character.
 E321402 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: Nishiarai | Statement: [Adachi, contains, Nishiarai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nishiarai
Context triple: [Adachi, contains, Nishiarai]
  • A. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • B. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • C. Nishi Amane
    Nishi Amane was a pioneering Meiji-era Japanese philosopher and statesman who helped introduce Western philosophy and legal thought to Japan.
  • D. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • E. Shinpei
    Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
  • 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: Nishiarai
Triple: [Adachi, contains, Nishiarai]
Generated description
Nishiarai is a neighborhood in Tokyo’s Adachi ward known for its historic temples, shopping streets, and residential character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nishiarai
Target entity description: Nishiarai is a neighborhood in Tokyo’s Adachi ward known for its historic temples, shopping streets, and residential character.
  • A. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • B. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • C. Nishi Amane
    Nishi Amane was a pioneering Meiji-era Japanese philosopher and statesman who helped introduce Western philosophy and legal thought to Japan.
  • D. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • E. Shinpei
    Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
  • 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa648bb44c81909245fb7ee23cb132 completed March 6, 2026, 5:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b1de68338c8190bf28d0a51716623a completed March 11, 2026, 9:28 p.m.
NEDg Description generation batch_69b1e5153640819085c78186c2490140 completed March 11, 2026, 9:56 p.m.
NED2 Entity disambiguation (via description) batch_69b1e57c63288190a37f0d4f87c4108c completed March 11, 2026, 9:58 p.m.
Created at: March 4, 2026, 7:31 p.m.