Triple

T12592517
Position Surface form Disambiguated ID Type / Status
Subject 世田谷区 E300641 entity
Predicate hasNeighbour P5707 FINISHED
Object 調布市
調布市は、東京都多摩地域東部に位置し、映画・映像産業や深大寺などで知られる都市です。
E993866 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: 調布市 | Statement: [世田谷区, hasNeighbour, 調布市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 調布市
Context triple: [世田谷区, hasNeighbour, 調布市]
  • A. 飯能市
    飯能市 is a city in Saitama Prefecture, Japan, known for its rich natural scenery, outdoor recreation areas, and proximity to the Tokyo metropolitan region.
  • B. 大東市
    大東市は大阪府北河内地域に位置し、住宅地と工業地帯が混在する中核的な都市です。
  • C. Ibaraki City
    Ibaraki City is a suburban city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • D. Kisarazu City
    Kisarazu City is a coastal city in Chiba Prefecture, Japan, known as the gateway on the Chiba side of Tokyo Bay via the Tokyo Bay Aqua-Line.
  • E. Ichinomiya, Chiba
    Ichinomiya, Chiba is a coastal town in Chiba Prefecture, Japan, known for its surfing beaches along the Pacific Ocean and its role as a popular seaside resort area.
  • 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: 調布市
Triple: [世田谷区, hasNeighbour, 調布市]
Generated description
調布市は、東京都多摩地域東部に位置し、映画・映像産業や深大寺などで知られる都市です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 調布市
Target entity description: 調布市は、東京都多摩地域東部に位置し、映画・映像産業や深大寺などで知られる都市です。
  • A. 飯能市
    飯能市 is a city in Saitama Prefecture, Japan, known for its rich natural scenery, outdoor recreation areas, and proximity to the Tokyo metropolitan region.
  • B. 大東市
    大東市は大阪府北河内地域に位置し、住宅地と工業地帯が混在する中核的な都市です。
  • C. Ibaraki City
    Ibaraki City is a suburban city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • D. Kisarazu City
    Kisarazu City is a coastal city in Chiba Prefecture, Japan, known as the gateway on the Chiba side of Tokyo Bay via the Tokyo Bay Aqua-Line.
  • E. Ichinomiya, Chiba
    Ichinomiya, Chiba is a coastal town in Chiba Prefecture, Japan, known for its surfing beaches along the Pacific Ocean and its role as a popular seaside resort area.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cc6d3c81908fbb22601c46f3f7 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec2dac88190bf31bb00f93feb30 completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f66308087c81908ab5b5795f255e37 completed May 2, 2026, 8:48 p.m.
NED2 Entity disambiguation (via description) batch_69f663fe2fac8190bb70c8f1b919d657 completed May 2, 2026, 8:52 p.m.
Created at: April 9, 2026, 5:07 p.m.