Triple

T6536193
Position Surface form Disambiguated ID Type / Status
Subject Izanagi E152368 entity
Predicate visited P2694 FINISHED
Object Yomi
Yomi is the shadowy land of the dead in Japanese mythology, often depicted as a gloomy underworld where the deceased reside.
E605685 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: Yomi | Statement: [Izanagi, visited, Yomi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yomi
Context triple: [Izanagi, visited, Yomi]
  • A. Tezu
    Tezu is a prominent town in northeastern India known as an important administrative and cultural center in the Lohit district of Arunachal Pradesh.
  • B. Teimei
    Teimei is the posthumous name of the Japanese empress consort of Emperor Taishō, who served as Empress of Japan in the early 20th century.
  • C. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • D. Sachinomiya
    Sachinomiya was the childhood name of Emperor Meiji, the Japanese monarch who oversaw the country's rapid modernization and the Meiji Restoration.
  • E. Kashiwa
    Kashiwa is a city in Chiba Prefecture, Japan, known as a residential and commercial hub within the Greater Tokyo metropolitan area.
  • 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: Yomi
Triple: [Izanagi, visited, Yomi]
Generated description
Yomi is the shadowy land of the dead in Japanese mythology, often depicted as a gloomy underworld where the deceased reside.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yomi
Target entity description: Yomi is the shadowy land of the dead in Japanese mythology, often depicted as a gloomy underworld where the deceased reside.
  • A. Tezu
    Tezu is a prominent town in northeastern India known as an important administrative and cultural center in the Lohit district of Arunachal Pradesh.
  • B. Teimei
    Teimei is the posthumous name of the Japanese empress consort of Emperor Taishō, who served as Empress of Japan in the early 20th century.
  • C. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • D. Sachinomiya
    Sachinomiya was the childhood name of Emperor Meiji, the Japanese monarch who oversaw the country's rapid modernization and the Meiji Restoration.
  • E. Kashiwa
    Kashiwa is a city in Chiba Prefecture, Japan, known as a residential and commercial hub within the Greater Tokyo metropolitan area.
  • 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_69c688048ec8819093a47f7d332e12ec completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6adc238688190aca143b22b8a399c completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d532b5348190986cf30883ed147b completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d6dad26481908ac4bc0ed703091b completed March 27, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69c6d833d84c819083ffc81bda7d35d4 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:46 p.m.