Triple

T1246967
Position Surface form Disambiguated ID Type / Status
Subject Empress of Japan E26788 entity
Predicate JapaneseReading P9812 FINISHED
Object Kōgō
Kōgō is the Japanese term used to refer to the empress consort of Japan.
 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: Kōgō | Statement: [Empress of Japan, JapaneseReading, Kōgō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kōgō
Context triple: [Empress of Japan, JapaneseReading, Kōgō]
  • A. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • B. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • C. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • D. Suzuya
    Suzuya is a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • E. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • 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: Kōgō
Triple: [Empress of Japan, JapaneseReading, Kōgō]
Generated description
Kōgō is the Japanese term used to refer to the empress consort of Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kōgō
Target entity description: Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • A. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • B. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • C. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • D. Suzuya
    Suzuya is a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • E. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf6750a48190b86e9248ed54d90a completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69aebeee5a808190981c06b78d30f004 completed March 9, 2026, 12:37 p.m.
NEDg Description generation batch_69aec43352d88190a4e9ae4f315938db completed March 9, 2026, 12:59 p.m.
NED2 Entity disambiguation (via description) batch_69aec4adb21c8190a89d53588ad75438 completed March 9, 2026, 1:01 p.m.
Created at: March 1, 2026, 7:47 p.m.