Triple

T405673
Position Surface form Disambiguated ID Type / Status
Subject Takatsuki E9377 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Kyotanabe
Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
 E141768 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: Kyotanabe | Statement: [Takatsuki, hasNeighboringMunicipality, Kyotanabe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kyotanabe
Context triple: [Takatsuki, hasNeighboringMunicipality, Kyotanabe]
  • A. Maishima
    Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
  • B. Daikanyama
    Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
  • C. Ashiya
    Ashiya is an affluent coastal city in Japan’s Hyōgo Prefecture, known for its upscale residential neighborhoods and proximity to both Kobe and Osaka.
  • D. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • E. Kikuchi
    Kikuchi is a Japanese surname borne by various notable individuals across fields such as acting, sports, and academia.
  • 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: Kyotanabe
Triple: [Takatsuki, hasNeighboringMunicipality, Kyotanabe]
Generated description
Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kyotanabe
Target entity description: Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
  • A. Maishima
    Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
  • B. Daikanyama
    Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
  • C. Ashiya
    Ashiya is an affluent coastal city in Japan’s Hyōgo Prefecture, known for its upscale residential neighborhoods and proximity to both Kobe and Osaka.
  • D. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • E. Kikuchi
    Kikuchi is a Japanese surname borne by various notable individuals across fields such as acting, sports, and academia.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ee2c2d1881909aa1ccfaa4172b38 completed Feb. 28, 2026, 1:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f5d714c819093dfb8c3da35da4f completed March 7, 2026, 8:49 p.m.
NEDg Description generation batch_69ac8fd90ea88190b154bb7d72768dae completed March 7, 2026, 8:51 p.m.
NED2 Entity disambiguation (via description) batch_69ac90412d3881909278a9a6c6536ce3 completed March 7, 2026, 8:53 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.