Triple

T13659078
Position Surface form Disambiguated ID Type / Status
Subject Baruten E326937 entity
Predicate hasSettlement P1068 FINISHED
Object Yashikira
Yashikira is a settlement located within the Baruten area, likely serving as one of its local communities or towns.
E1068160 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: Yashikira | Statement: [Baruten, hasSettlement, Yashikira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yashikira
Context triple: [Baruten, hasSettlement, Yashikira]
  • A. Nishiarai
    Nishiarai is a neighborhood in Tokyo’s Adachi ward known for its historic temples, shopping streets, and residential character.
  • B. Oshiwara
    Oshiwara is a locality in Mumbai, India, known for its residential complexes, commercial hubs, and proximity to the city's film and television industry areas.
  • C. Yasuji
    Yasuji is a Japanese given name commonly used for males and borne by various notable figures in Japan.
  • D. Yoshida
    Yoshida is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and entertainment.
  • E. Azuma Koshiishi
    Azuma Koshiishi is a Japanese politician and former teacher who became a senior leader of the Democratic Party of Japan, notably serving in key party management and organizational roles.
  • 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: Yashikira
Triple: [Baruten, hasSettlement, Yashikira]
Generated description
Yashikira is a settlement located within the Baruten area, likely serving as one of its local communities or towns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yashikira
Target entity description: Yashikira is a settlement located within the Baruten area, likely serving as one of its local communities or towns.
  • A. Nishiarai
    Nishiarai is a neighborhood in Tokyo’s Adachi ward known for its historic temples, shopping streets, and residential character.
  • B. Oshiwara
    Oshiwara is a locality in Mumbai, India, known for its residential complexes, commercial hubs, and proximity to the city's film and television industry areas.
  • C. Yasuji
    Yasuji is a Japanese given name commonly used for males and borne by various notable figures in Japan.
  • D. Yoshida
    Yoshida is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and entertainment.
  • E. Azuma Koshiishi
    Azuma Koshiishi is a Japanese politician and former teacher who became a senior leader of the Democratic Party of Japan, notably serving in key party management and organizational roles.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc61f0d808190b1cd2a6ba0d930eb completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6fb2b708190ae6e36bfb93f8bdd completed May 3, 2026, 10:06 p.m.
NEDg Description generation batch_69f7c93a3d0c8190a6417f0db54119f5 completed May 3, 2026, 10:16 p.m.
NED2 Entity disambiguation (via description) batch_69f7c9b2930c8190983f2c55a0dd35f6 completed May 3, 2026, 10:18 p.m.
Created at: April 9, 2026, 9:52 p.m.