Triple

T35737776
Position Surface form Disambiguated ID Type / Status
Subject Kai Province E1032939 entity
Predicate ISOTransliteration P44932 FINISHED
Object Kai no Kuni
Kai no Kuni is the historical Japanese province corresponding largely to modern Yamanashi Prefecture, known for its mountainous terrain and association with the warlord Takeda Shingen.
 E2153177 NE FINISHED

How this triple was built (3 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: Kai no Kuni | Statement: [Kai Province, ISOTransliteration, Kai no Kuni]
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: Kai no Kuni
Triple: [Kai Province, ISOTransliteration, Kai no Kuni]
Generated description
Kai no Kuni is the historical Japanese province corresponding largely to modern Yamanashi Prefecture, known for its mountainous terrain and association with the warlord Takeda Shingen.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: ISOTransliteration
Context triple: [Kai Province, ISOTransliteration, Kai no Kuni]
  • A. commonTransliterationSystem
    Indicates that two or more written forms are derived using the same standardized system for converting text from one script to another.
  • B. standardTransliteration chosen
    Indicates that one representation of text is a transliteration of another according to a recognized standard or convention.
  • C. alternativeTransliteration
    Indicates that one written form represents an alternative way of transliterating the same original text or name into another script or orthography.
  • D. transliterationLanguage
    Indicates the language whose writing system is used as the target when converting text from one script to another.
  • E. typicalTransliterationFrom
    Indicates that one string is the standard or most commonly used transliteration of another string from one writing system to another.
  • F. None of above.

Provenance (6 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_69f76e10e59081908d81ad9ce22f40b6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a34f8ee08190a040304635539a8f completed May 3, 2026, 7:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a387d2304408190b1220cc03d5ba2c2 completed June 22, 2026, 12:09 a.m.
NEDg Description generation batch_6a387f0e8ca88190b2542f3e8bb09305 completed June 22, 2026, 12:17 a.m.
NED2 Entity disambiguation (via description) batch_6a387f873ab08190a7e792db20e86743 completed June 22, 2026, 12:19 a.m.
PD Predicate disambiguation batch_69f7a06f125c8190843af194f042a465 completed May 3, 2026, 7:22 p.m.
Created at: May 3, 2026, 4:05 p.m.