Triple

T7740233
Position Surface form Disambiguated ID Type / Status
Subject Toshima, Tokyo E175487 entity
Predicate hasMajorDistrict P14817 FINISHED
Object Otsuka
Otsuka is a neighborhood in Tokyo known for its mix of traditional shopping streets, residential areas, and convenient rail connections, including the JR Yamanote Line.
E691818 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: Otsuka | Statement: [Toshima, Tokyo, hasMajorDistrict, Otsuka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otsuka
Context triple: [Toshima, Tokyo, hasMajorDistrict, Otsuka]
  • A. Wakatsuki
    Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
  • B. Ozaki
    Ozaki is a Japanese surname borne by various notable figures in politics, literature, and the arts.
  • C. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • D. Munakata
    Munakata is a coastal city in Japan known for its ancient Munakata Taisha Shinto shrines and its location in northern Fukuoka Prefecture on Kyushu Island.
  • E. Nōgata
    Nōgata is a city in western Japan located in Fukuoka Prefecture on the island of Kyushu.
  • 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: Otsuka
Triple: [Toshima, Tokyo, hasMajorDistrict, Otsuka]
Generated description
Otsuka is a neighborhood in Tokyo known for its mix of traditional shopping streets, residential areas, and convenient rail connections, including the JR Yamanote Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Otsuka
Target entity description: Otsuka is a neighborhood in Tokyo known for its mix of traditional shopping streets, residential areas, and convenient rail connections, including the JR Yamanote Line.
  • A. Wakatsuki
    Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
  • B. Ozaki
    Ozaki is a Japanese surname borne by various notable figures in politics, literature, and the arts.
  • C. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • D. Munakata
    Munakata is a coastal city in Japan known for its ancient Munakata Taisha Shinto shrines and its location in northern Fukuoka Prefecture on Kyushu Island.
  • E. Nōgata
    Nōgata is a city in western Japan located in Fukuoka Prefecture on the island of Kyushu.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035cddb881908bdfc1bd7d6a64ad completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9abd319048190a24be5112c810489 completed March 29, 2026, 10:46 p.m.
NEDg Description generation batch_69c9b01b23048190a4805947dd403cd8 completed March 29, 2026, 11:04 p.m.
NED2 Entity disambiguation (via description) batch_69c9b080ab4c8190a8d69dc9fee80510 completed March 29, 2026, 11:06 p.m.
Created at: March 27, 2026, 4:07 p.m.