Triple

T16689613
Position Surface form Disambiguated ID Type / Status
Subject Azabu E405559 entity
Predicate hasSubdistrict P747 FINISHED
Object Minami-Azabu
Minami-Azabu is a residential and diplomatic district in Minato, Tokyo, known for its embassies, international schools, and upscale urban atmosphere.
E1233355 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: Minami-Azabu | Statement: [Azabu, hasSubdistrict, Minami-Azabu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minami-Azabu
Context triple: [Azabu, hasSubdistrict, Minami-Azabu]
  • A. Nishi-Azabu
    Nishi-Azabu is a fashionable, upscale neighborhood in Tokyo’s Minato ward, known for its trendy restaurants, nightlife, and proximity to areas like Roppongi and Hiroo.
  • B. Minami-Aoyama
    Minami-Aoyama is an upscale district in Tokyo’s Minato ward known for its fashionable boutiques, stylish cafes, and contemporary art galleries.
  • C. 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.
  • D. Nakameguro
    Nakameguro is a trendy Tokyo neighborhood known for its cherry tree–lined Meguro River, stylish cafes, boutiques, and vibrant nightlife.
  • E. Akasaka
    Akasaka is a central Tokyo district known for its business centers, upscale hotels, and vibrant nightlife.
  • 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: Minami-Azabu
Triple: [Azabu, hasSubdistrict, Minami-Azabu]
Generated description
Minami-Azabu is a residential and diplomatic district in Minato, Tokyo, known for its embassies, international schools, and upscale urban atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Minami-Azabu
Target entity description: Minami-Azabu is a residential and diplomatic district in Minato, Tokyo, known for its embassies, international schools, and upscale urban atmosphere.
  • A. Nishi-Azabu
    Nishi-Azabu is a fashionable, upscale neighborhood in Tokyo’s Minato ward, known for its trendy restaurants, nightlife, and proximity to areas like Roppongi and Hiroo.
  • B. Minami-Aoyama
    Minami-Aoyama is an upscale district in Tokyo’s Minato ward known for its fashionable boutiques, stylish cafes, and contemporary art galleries.
  • C. 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.
  • D. Nakameguro
    Nakameguro is a trendy Tokyo neighborhood known for its cherry tree–lined Meguro River, stylish cafes, boutiques, and vibrant nightlife.
  • E. Akasaka
    Akasaka is a central Tokyo district known for its business centers, upscale hotels, and vibrant nightlife.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea80d88819091fc61ed3c01955a completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aaed833c8190ab8a724d279dc52d completed May 10, 2026, 3:57 p.m.
NEDg Description generation batch_6a00ac621b3881908887b640bf3e3fce completed May 10, 2026, 4:03 p.m.
NED2 Entity disambiguation (via description) batch_6a00acc3a9dc819087e07e539760bf34 completed May 10, 2026, 4:05 p.m.
Created at: April 10, 2026, 5:19 a.m.