Triple

T27385045
Position Surface form Disambiguated ID Type / Status
Subject Kii Province E691346 entity
Predicate oldNameInJapanese P153456 FINISHED
Object 紀伊国
紀伊国 was a historical province of Japan located on the Kii Peninsula, encompassing areas that are now part of Wakayama and Mie Prefectures and known for its mountainous terrain and important religious sites.
 E1770340 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: 紀伊国 | Statement: [Kii Province, oldNameInJapanese, 紀伊国]
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: 紀伊国
Triple: [Kii Province, oldNameInJapanese, 紀伊国]
Generated description
紀伊国 was a historical province of Japan located on the Kii Peninsula, encompassing areas that are now part of Wakayama and Mie Prefectures and known for its mountainous terrain and important religious sites.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: oldNameInJapanese
Context triple: [Kii Province, oldNameInJapanese, 紀伊国]
  • A. formerJapaneseNameOf chosen
    Indicates that one entity was previously used as the Japanese name for another entity but is no longer its current Japanese name.
  • B. nameInJapaneseKana
    Indicates that an entity’s name is written or represented using Japanese kana characters.
  • C. hasNameInJapanese
    Indicates that an entity is associated with a specific name expressed in the Japanese language.
  • D. eraNameInJapanese
    Indicates the Japanese-language name used for a specific historical or calendar era.
  • E. hasOfficialNameInJapanese
    Indicates that an entity has an official, formally recognized name expressed in the Japanese language.
  • 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_69ef520386788190bc92cfcd97ebb67a completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62c8af8508190bf5e40515d5d8f34 completed May 2, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12a7ede8688190aaad6460b5bad00f completed May 24, 2026, 7:25 a.m.
NEDg Description generation batch_6a12a87492b48190be0461fafe4d081d completed May 24, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_6a12a926a67c819083713f0245b3e299 completed May 24, 2026, 7:30 a.m.
PD Predicate disambiguation batch_69f623aaf40081909f947431424a1d55 completed May 2, 2026, 4:17 p.m.
Created at: April 27, 2026, 12:24 p.m.