Triple

T10078368
Position Surface form Disambiguated ID Type / Status
Subject Kamitsumaki E213831 entity
Predicate precedes P97 FINISHED
Object Nakatsumaki
Nakatsumaki is the middle volume of the ancient Japanese chronicle Kojiki, continuing its mytho-historical narrative between the Kamitsumaki and Shimotsumaki sections.
 E663213 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: Nakatsumaki | Statement: [Kamitsumaki, precedes, Nakatsumaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nakatsumaki
Context triple: [Kamitsumaki, precedes, Nakatsumaki]
  • A. Nakatsumaki
    Nakatsumaki is a fictional ninja technique from the Naruto universe, known as one of the specialized “maki” (巻) style moves used in combat.
  • B. Nakatsumaki
    Nakatsumaki is the middle volume of the Kojiki, Japan’s oldest extant chronicle, focusing on the deeds and genealogies of early emperors.
  • C. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • D. Naguri
    Naguri is a regional dialect of the Mundari language spoken by Munda communities in eastern India.
  • E. Yamabiko
    Yamabiko is a high-speed Shinkansen train service in Japan that operates on the Tōhoku Shinkansen line, connecting Tokyo with northern regions such as Sendai.
  • 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: Nakatsumaki
Triple: [Kamitsumaki, precedes, Nakatsumaki]
Generated description
Nakatsumaki is the middle volume of the ancient Japanese chronicle Kojiki, continuing its mytho-historical narrative between the Kamitsumaki and Shimotsumaki sections.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nakatsumaki
Target entity description: Nakatsumaki is the middle volume of the ancient Japanese chronicle Kojiki, continuing its mytho-historical narrative between the Kamitsumaki and Shimotsumaki sections.
  • A. Nakatsumaki
    Nakatsumaki is a fictional ninja technique from the Naruto universe, known as one of the specialized “maki” (巻) style moves used in combat.
  • B. Nakatsumaki chosen
    Nakatsumaki is the middle volume of the Kojiki, Japan’s oldest extant chronicle, focusing on the deeds and genealogies of early emperors.
  • C. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • D. Naguri
    Naguri is a regional dialect of the Mundari language spoken by Munda communities in eastern India.
  • E. Yamabiko
    Yamabiko is a high-speed Shinkansen train service in Japan that operates on the Tōhoku Shinkansen line, connecting Tokyo with northern regions such as Sendai.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd030a0fc819084b523e8e63636fa completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e712b2ff1081908ccf311e1133ab72 completed April 21, 2026, 6:01 a.m.
NEDg Description generation batch_69e720f4015c81909ba7973c3e781985 completed April 21, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69e75a7a04c88190bb8f3dd3f3e435ef completed April 21, 2026, 11:07 a.m.
Created at: March 30, 2026, 9 p.m.