Triple

T13531632
Position Surface form Disambiguated ID Type / Status
Subject Aoyama-dori E323146 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Kita-Aoyama
Kita-Aoyama is an upscale district in Tokyo’s Minato ward known for its stylish boutiques, galleries, and modern urban atmosphere.
E1184386 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: Kita-Aoyama | Statement: [Aoyama-dori, hasNeighbourhood, Kita-Aoyama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kita-Aoyama
Context triple: [Aoyama-dori, hasNeighbourhood, Kita-Aoyama]
  • A. Kita Iōtō
    Kita Iōtō is a remote Japanese island in the Pacific Ocean, part of the Ogasawara archipelago, known for its volcanic origin and military history.
  • B. Moriyama
    Moriyama is a Japanese city located in Shiga Prefecture, known for its position near Lake Biwa and its blend of residential areas and historical sites.
  • C. Ichigaya
    Ichigaya is a central Tokyo district known for its major railway station, government and educational institutions, and proximity to the Imperial Palace area.
  • D. 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.
  • E. Nakano
    Nakano is a special ward in Tokyo, Japan, known for its dense urban neighborhoods, anime and subculture shopping areas, and convenient access to central Tokyo.
  • 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: Kita-Aoyama
Triple: [Aoyama-dori, hasNeighbourhood, Kita-Aoyama]
Generated description
Kita-Aoyama is an upscale district in Tokyo’s Minato ward known for its stylish boutiques, galleries, and modern urban atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kita-Aoyama
Target entity description: Kita-Aoyama is an upscale district in Tokyo’s Minato ward known for its stylish boutiques, galleries, and modern urban atmosphere.
  • A. Kita Iōtō
    Kita Iōtō is a remote Japanese island in the Pacific Ocean, part of the Ogasawara archipelago, known for its volcanic origin and military history.
  • B. Moriyama
    Moriyama is a Japanese city located in Shiga Prefecture, known for its position near Lake Biwa and its blend of residential areas and historical sites.
  • C. Ichigaya
    Ichigaya is a central Tokyo district known for its major railway station, government and educational institutions, and proximity to the Imperial Palace area.
  • D. 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.
  • E. Nakano
    Nakano is a special ward in Tokyo, Japan, known for its dense urban neighborhoods, anime and subculture shopping areas, and convenient access to central Tokyo.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbb34548190a6b44faa48125cd4 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb58e50bc819086622a33b59cc332 completed May 9, 2026, 10:30 p.m.
NEDg Description generation batch_69ffb60d68e08190b6c85bda66c3e463 completed May 9, 2026, 10:32 p.m.
NED2 Entity disambiguation (via description) batch_69ffb67ac8948190a44a167033c713f6 completed May 9, 2026, 10:34 p.m.
Created at: April 9, 2026, 9:44 p.m.