Triple

T15725834
Position Surface form Disambiguated ID Type / Status
Subject Japanese traditional calendar E381214 entity
Predicate alsoKnownAs P39 FINISHED
Object kyūreki
Kyūreki is Japan’s traditional lunisolar calendar system that was used before the adoption of the modern Gregorian calendar.
 E1173662 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: kyūreki | Statement: [Japanese traditional calendar, alsoKnownAs, kyūreki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: kyūreki
Context triple: [Japanese traditional calendar, alsoKnownAs, kyūreki]
  • A. Miyawaka
    Miyawaka is a city in Japan known for its location in northern Kyushu and its blend of industrial facilities and residential communities.
  • B. Kuyonon
    Kuyonon is an Austronesian language spoken primarily by the Cuyonon people of the Cuyo Islands and parts of Palawan in the Philippines.
  • C. Rankoshi
    Rankoshi is a small town in Hokkaido, Japan, known for its rural landscapes and proximity to ski and hot spring resorts.
  • D. Kanasubigi
    Kanasubigi is an ancient Bulgar royal title, often interpreted as a form of "ruler from God" or "sovereign by the grace of God," used by early Bulgarian khans such as Omurtag.
  • E. Koyuki
    Koyuki is a Japanese actress and model best known internationally for her role opposite Tom Cruise in the film "The Last Samurai."
  • 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: kyūreki
Triple: [Japanese traditional calendar, alsoKnownAs, kyūreki]
Generated description
Kyūreki is Japan’s traditional lunisolar calendar system that was used before the adoption of the modern Gregorian calendar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: kyūreki
Target entity description: Kyūreki is Japan’s traditional lunisolar calendar system that was used before the adoption of the modern Gregorian calendar.
  • A. Miyawaka
    Miyawaka is a city in Japan known for its location in northern Kyushu and its blend of industrial facilities and residential communities.
  • B. Kuyonon
    Kuyonon is an Austronesian language spoken primarily by the Cuyonon people of the Cuyo Islands and parts of Palawan in the Philippines.
  • C. Rankoshi
    Rankoshi is a small town in Hokkaido, Japan, known for its rural landscapes and proximity to ski and hot spring resorts.
  • D. Kanasubigi
    Kanasubigi is an ancient Bulgar royal title, often interpreted as a form of "ruler from God" or "sovereign by the grace of God," used by early Bulgarian khans such as Omurtag.
  • E. Koyuki
    Koyuki is a Japanese actress and model best known internationally for her role opposite Tom Cruise in the film "The Last Samurai."
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb357a88190a92641c8a8c20573 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82f8b88081909855d3da0346fa25 completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff83e73efc8190bf29248346d61af5 completed May 9, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69ff8477b94081909814d0672dd7052f completed May 9, 2026, 7:01 p.m.
Created at: April 10, 2026, 4:46 a.m.