Triple

T15779447
Position Surface form Disambiguated ID Type / Status
Subject Koromo E382573 entity
Predicate hasJapaneseName P9882 FINISHED
Object 挙母
挙母(ころも)は、かつて愛知県に存在した城下町を中心とする地名で、現在の豊田市の旧称として知られている名称である。
E1177500 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: 挙母 | Statement: [Koromo, hasJapaneseName, 挙母]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 挙母
Context triple: [Koromo, hasJapaneseName, 挙母]
  • A. Kouaku
    Kouaku is one of the small islands that make up the remote Gambier Islands archipelago in French Polynesia.
  • B. Shigeko
    Shigeko is a Japanese feminine given name that has been borne by various notable women, including members of the imperial family.
  • C. Kunitachi
    Kunitachi is a suburban city in western Tokyo, Japan, known for its universities, tree-lined avenues, and residential character.
  • D. Iyesato
    Iyesato is the given name of Prince Iyesato Tokugawa, a prominent Japanese noble and political leader of the early 20th century.
  • E. Motokiyo
    Motokiyo is the given name of Zeami Motokiyo, the seminal Japanese playwright, actor, and theorist who shaped the classical Noh theatre tradition.
  • 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: 挙母
Triple: [Koromo, hasJapaneseName, 挙母]
Generated description
挙母(ころも)は、かつて愛知県に存在した城下町を中心とする地名で、現在の豊田市の旧称として知られている名称である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 挙母
Target entity description: 挙母(ころも)は、かつて愛知県に存在した城下町を中心とする地名で、現在の豊田市の旧称として知られている名称である。
  • A. Kouaku
    Kouaku is one of the small islands that make up the remote Gambier Islands archipelago in French Polynesia.
  • B. Shigeko
    Shigeko is a Japanese feminine given name that has been borne by various notable women, including members of the imperial family.
  • C. Kunitachi
    Kunitachi is a suburban city in western Tokyo, Japan, known for its universities, tree-lined avenues, and residential character.
  • D. Iyesato
    Iyesato is the given name of Prince Iyesato Tokugawa, a prominent Japanese noble and political leader of the early 20th century.
  • E. Motokiyo
    Motokiyo is the given name of Zeami Motokiyo, the seminal Japanese playwright, actor, and theorist who shaped the classical Noh theatre tradition.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e053fea90081908e3fe4f91475bead completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff909f7f4481909cceb32e26af3780 completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff93cf529c819097537d87689aad93 completed May 9, 2026, 8:06 p.m.
NED2 Entity disambiguation (via description) batch_69ff944ac4248190a3d60c2486910eaf completed May 9, 2026, 8:08 p.m.
Created at: April 10, 2026, 4:48 a.m.