Triple

T9078228
Position Surface form Disambiguated ID Type / Status
Subject Toshima E217543 entity
Predicate hasMajorDistrict P14817 FINISHED
Object Shiinamachi
Shiinamachi is a neighborhood in Tokyo known for its residential character and local shopping streets within the Toshima ward.
 E875092 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: Shiinamachi | Statement: [Toshima, hasMajorDistrict, Shiinamachi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shiinamachi
Context triple: [Toshima, hasMajorDistrict, Shiinamachi]
  • A. Shinanomachi
    Shinanomachi is a district in Shinjuku, Tokyo, known for its residential neighborhoods, medical institutions, and proximity to central Tokyo areas like Yotsuya.
  • B. Oimachi
    Oimachi is a commercial and residential district in Tokyo known for its busy train hub, shopping streets, and convenient access to central Shinagawa and other parts of the city.
  • C. Ōgaki
    Ōgaki is a former municipality in Hiroshima Prefecture, Japan, that was incorporated into the city of Etajima.
  • D. Akiruno
    Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
  • E. Hamamatsuchō
    Hamamatsuchō is a business and transportation district in Tokyo known for its major train and monorail stations, office towers, and proximity to Tokyo Bay.
  • 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: Shiinamachi
Triple: [Toshima, hasMajorDistrict, Shiinamachi]
Generated description
Shiinamachi is a neighborhood in Tokyo known for its residential character and local shopping streets within the Toshima ward.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shiinamachi
Target entity description: Shiinamachi is a neighborhood in Tokyo known for its residential character and local shopping streets within the Toshima ward.
  • A. Shinanomachi
    Shinanomachi is a district in Shinjuku, Tokyo, known for its residential neighborhoods, medical institutions, and proximity to central Tokyo areas like Yotsuya.
  • B. Oimachi
    Oimachi is a commercial and residential district in Tokyo known for its busy train hub, shopping streets, and convenient access to central Shinagawa and other parts of the city.
  • C. Ōgaki
    Ōgaki is a former municipality in Hiroshima Prefecture, Japan, that was incorporated into the city of Etajima.
  • D. Akiruno
    Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
  • E. Hamamatsuchō
    Hamamatsuchō is a business and transportation district in Tokyo known for its major train and monorail stations, office towers, and proximity to Tokyo Bay.
  • 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_69ca83d6c14c8190bc056d927f00a2a2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc95c7d3688190a4c1c6a92965eae4 completed April 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d96af89e48819093a6c149ac988391 completed April 10, 2026, 9:26 p.m.
NEDg Description generation batch_69d96d85f9648190a43c8c924f5139e3 completed April 10, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_69d96e1a36688190b97ced745bc6a30d completed April 10, 2026, 9:39 p.m.
Created at: March 30, 2026, 7:12 p.m.