Triple

T16239795
Position Surface form Disambiguated ID Type / Status
Subject Maibara E394210 entity
Predicate formedByMergerOf P77 FINISHED
Object Maihara
Maihara was a former town in Shiga Prefecture, Japan, that later became part of the city of Maibara through a municipal merger.
 E1452353 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: Maihara | Statement: [Maibara, formedByMergerOf, Maihara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maihara
Context triple: [Maibara, formedByMergerOf, Maihara]
  • A. Ōyama
    Ōyama is a Japanese surname borne by various notable figures in Japan’s military, political, and cultural history.
  • B. Oyama
    Oyama is a city in Tochigi Prefecture, Japan, known as a key commercial and transportation hub within the northern Kantō region.
  • C. Oyama
    Oyama is a small genus of flowering plants in the magnolia family, known for its ornamental, magnolia-like shrubs or small trees.
  • D. Oiyama
    Oiyama is the climactic final race of the Hakata Gion Yamakasa festival in Fukuoka, where teams dash through the streets carrying elaborately decorated floats.
  • E. Matsushima
    Matsushima was a Japanese protected cruiser that served as a flagship of the Imperial Japanese Navy during the First Sino-Japanese War.
  • 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: Maihara
Triple: [Maibara, formedByMergerOf, Maihara]
Generated description
Maihara was a former town in Shiga Prefecture, Japan, that later became part of the city of Maibara through a municipal merger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maihara
Target entity description: Maihara was a former town in Shiga Prefecture, Japan, that later became part of the city of Maibara through a municipal merger.
  • A. Ōyama
    Ōyama is a Japanese surname borne by various notable figures in Japan’s military, political, and cultural history.
  • B. Oyama
    Oyama is a city in Tochigi Prefecture, Japan, known as a key commercial and transportation hub within the northern Kantō region.
  • C. Oyama
    Oyama is a small genus of flowering plants in the magnolia family, known for its ornamental, magnolia-like shrubs or small trees.
  • D. Oiyama
    Oiyama is the climactic final race of the Hakata Gion Yamakasa festival in Fukuoka, where teams dash through the streets carrying elaborately decorated floats.
  • E. Matsushima
    Matsushima was a Japanese protected cruiser that served as a flagship of the Imperial Japanese Navy during the First Sino-Japanese War.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455d5270819090171d4207223a28 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0900574d988190bd635ebb22c54357 completed May 16, 2026, 11:40 p.m.
NEDg Description generation batch_6a0901a0dac081909f9184e99a70419a completed May 16, 2026, 11:45 p.m.
NED2 Entity disambiguation (via description) batch_6a09023cf27081908eb246367215ae12 completed May 16, 2026, 11:48 p.m.
Created at: April 10, 2026, 5:04 a.m.