Triple

T7625112
Position Surface form Disambiguated ID Type / Status
Subject Nantan E172607 entity
Predicate formedByMergerOf P77 FINISHED
Object Yagi
Yagi was a former town in Kyoto Prefecture, Japan, that later became part of the city of Nantan through a municipal merger.
 E678023 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: Yagi | Statement: [Nantan, formedByMergerOf, Yagi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yagi
Context triple: [Nantan, formedByMergerOf, Yagi]
  • A. Teshima
    Teshima is a small Japanese island in the Seto Inland Sea known for its contemporary art installations, scenic landscapes, and role in the Setouchi Triennale art festival.
  • B. Hyakutake
    Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
  • C. Oyamazaki
    Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
  • D. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • E. Akashi
    Akashi is a coastal city in western Japan known for its historic castle, views of the Akashi Kaikyō Strait, and its specialty dish akashiyaki.
  • 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: Yagi
Triple: [Nantan, formedByMergerOf, Yagi]
Generated description
Yagi was a former town in Kyoto Prefecture, Japan, that later became part of the city of Nantan through a municipal merger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yagi
Target entity description: Yagi was a former town in Kyoto Prefecture, Japan, that later became part of the city of Nantan through a municipal merger.
  • A. Teshima
    Teshima is a small Japanese island in the Seto Inland Sea known for its contemporary art installations, scenic landscapes, and role in the Setouchi Triennale art festival.
  • B. Hyakutake
    Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
  • C. Oyamazaki
    Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
  • D. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • E. Akashi
    Akashi is a coastal city in western Japan known for its historic castle, views of the Akashi Kaikyō Strait, and its specialty dish akashiyaki.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa6648608190a9203b98b76209aa completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870a00f8c8190935ee9b3054ada90 completed March 29, 2026, 12:21 a.m.
NEDg Description generation batch_69c87244ba00819088e4aadbca1b7da8 completed March 29, 2026, 12:28 a.m.
NED2 Entity disambiguation (via description) batch_69c873cc0bb48190b0b44feb7544f067 completed March 29, 2026, 12:35 a.m.
Created at: March 27, 2026, 3:56 p.m.