Triple

T11213190
Position Surface form Disambiguated ID Type / Status
Subject Kōgō E265360 entity
Predicate isDifferentFrom P1612 FINISHED
Object Kōtaigō
Kōtaigō is a Japanese honorific speech style used to show respect toward the imperial family, distinct from other forms of polite or respectful language.
 E265360 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: Kōtaigō | Statement: [Kōgō, isDifferentFrom, Kōtaigō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kōtaigō
Context triple: [Kōgō, isDifferentFrom, Kōtaigō]
  • A. Koshigaya
    Koshigaya is a suburban city in Japan known for its large shopping complexes and residential communities within the Greater Tokyo metropolitan area.
  • B. Kōta
    Kōta is a town in central Japan known for its manufacturing industries and location within Aichi Prefecture.
  • C. Kyotanabe
    Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
  • D. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • E. Shibukawa
    Shibukawa is a city in Gunma Prefecture, Japan, known as a regional transport hub and gateway to nearby hot spring resorts such as Ikaho Onsen.
  • 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: Kōtaigō
Triple: [Kōgō, isDifferentFrom, Kōtaigō]
Generated description
Kōtaigō is a Japanese honorific speech style used to show respect toward the imperial family, distinct from other forms of polite or respectful language.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kōtaigō
Target entity description: Kōtaigō is a Japanese honorific speech style used to show respect toward the imperial family, distinct from other forms of polite or respectful language.
  • A. Koshigaya
    Koshigaya is a suburban city in Japan known for its large shopping complexes and residential communities within the Greater Tokyo metropolitan area.
  • B. Kōta
    Kōta is a town in central Japan known for its manufacturing industries and location within Aichi Prefecture.
  • C. Kyotanabe
    Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
  • D. Kōgō chosen
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • E. Shibukawa
    Shibukawa is a city in Gunma Prefecture, Japan, known as a regional transport hub and gateway to nearby hot spring resorts such as Ikaho Onsen.
  • F. None of above.

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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d7f47c8190b78c640ff1a01943 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ccb9c3481908820f7620102e373 completed May 8, 2026, 4:18 p.m.
NEDg Description generation batch_69fe1903c0f88190b6f1a081047506d5 completed May 8, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_69fe1980179481908b9f97e2f474e00d completed May 8, 2026, 5:12 p.m.
Created at: April 8, 2026, 9:30 p.m.