Triple

T12780121
Position Surface form Disambiguated ID Type / Status
Subject Chūō, Tokyo E305484 entity
Predicate contains P35 FINISHED
Object Shintomichō
Shintomichō is a neighborhood located within Tokyo’s central Chūō ward, known for its mix of residential and commercial urban streets.
E1253435 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: Shintomichō | Statement: [Chūō, Tokyo, contains, Shintomichō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shintomichō
Context triple: [Chūō, Tokyo, contains, Shintomichō]
  • A. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • B. 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.
  • C. Tsuchiura
    Tsuchiura is a city in Ibaraki Prefecture, Japan, known for its location on the shores of Lake Kasumigaura and its annual national fireworks competition.
  • D. Akiruno
    Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
  • E. Kanramachi
    Kanramachi is a Japanese town known for its cultural and municipal partnership with the Italian town of Certaldo.
  • 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: Shintomichō
Triple: [Chūō, Tokyo, contains, Shintomichō]
Generated description
Shintomichō is a neighborhood located within Tokyo’s central Chūō ward, known for its mix of residential and commercial urban streets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shintomichō
Target entity description: Shintomichō is a neighborhood located within Tokyo’s central Chūō ward, known for its mix of residential and commercial urban streets.
  • A. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • B. 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.
  • C. Tsuchiura
    Tsuchiura is a city in Ibaraki Prefecture, Japan, known for its location on the shores of Lake Kasumigaura and its annual national fireworks competition.
  • D. Akiruno
    Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
  • E. Kanramachi
    Kanramachi is a Japanese town known for its cultural and municipal partnership with the Italian town of Certaldo.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5a5680819095dcd491486d23e7 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014819dfbc8190b39a10647f9ba64c completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a0148d819f88190a201a31fdcd37b1c completed May 11, 2026, 3:11 a.m.
NED2 Entity disambiguation (via description) batch_6a01493587948190b1a9f7ece8fcf072 completed May 11, 2026, 3:12 a.m.
Created at: April 9, 2026, 5:29 p.m.