Triple

T12632168
Position Surface form Disambiguated ID Type / Status
Subject Takadanobaba E301669 entity
Predicate hasNearbyArea P4647 FINISHED
Object Shin-Okubo
Shin-Okubo is a Tokyo neighborhood best known for its vibrant Koreatown, dense cluster of Korean restaurants and shops, and multicultural atmosphere near Shinjuku.
 E1235810 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: Shin-Okubo | Statement: [Takadanobaba, hasNearbyArea, Shin-Okubo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shin-Okubo
Context triple: [Takadanobaba, hasNearbyArea, Shin-Okubo]
  • A. Komagome
    Komagome is a residential and commercial neighborhood in Tokyo known for its traditional atmosphere, historic temples, and the renowned Rikugien Garden.
  • B. Kamitabashi
    Kamitabashi is a residential neighborhood located in the Kita ward of Tokyo, Japan.
  • C. Shijuku
    "Shijuku" is a jazz track featured on the album *The Tokyo Blues* by pianist Horace Silver.
  • D. Nishi-Ogikubo
    Nishi-Ogikubo is a Tokyo neighborhood known for its laid-back residential atmosphere, vintage and antique shops, and small independent cafes and bars.
  • E. Shiodome
    Shiodome is a modern high-rise business and commercial district in Tokyo, Japan, known for housing major corporate headquarters, upscale hotels, and shopping complexes.
  • 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: Shin-Okubo
Triple: [Takadanobaba, hasNearbyArea, Shin-Okubo]
Generated description
Shin-Okubo is a Tokyo neighborhood best known for its vibrant Koreatown, dense cluster of Korean restaurants and shops, and multicultural atmosphere near Shinjuku.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shin-Okubo
Target entity description: Shin-Okubo is a Tokyo neighborhood best known for its vibrant Koreatown, dense cluster of Korean restaurants and shops, and multicultural atmosphere near Shinjuku.
  • A. Komagome
    Komagome is a residential and commercial neighborhood in Tokyo known for its traditional atmosphere, historic temples, and the renowned Rikugien Garden.
  • B. Kamitabashi
    Kamitabashi is a residential neighborhood located in the Kita ward of Tokyo, Japan.
  • C. Shijuku
    "Shijuku" is a jazz track featured on the album *The Tokyo Blues* by pianist Horace Silver.
  • D. Nishi-Ogikubo
    Nishi-Ogikubo is a Tokyo neighborhood known for its laid-back residential atmosphere, vintage and antique shops, and small independent cafes and bars.
  • E. Shiodome
    Shiodome is a modern high-rise business and commercial district in Tokyo, Japan, known for housing major corporate headquarters, upscale hotels, and shopping complexes.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610e4f408190946f37325d69375c completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b272ea6c8190b22fd78081446701 completed May 10, 2026, 4:29 p.m.
NEDg Description generation batch_6a00b385d9ec81908aa44d64a8da53d0 completed May 10, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_6a00b82b89c0819085fe73fda0d98654 completed May 10, 2026, 4:54 p.m.
Created at: April 9, 2026, 5:15 p.m.