Triple

T8732
Position Surface form Disambiguated ID Type / Status
Subject Japan E174 entity
Predicate writingSystem P454 FINISHED
Object Kanji
Kanji are logographic characters of Chinese origin used in the Japanese writing system alongside hiragana and katakana.
E2128 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: Kanji | Statement: [Japan, writingSystem, Kanji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanji
Context triple: [Japan, writingSystem, Kanji]
  • A. Hinomaru
    Hinomaru is the national flag of Japan, featuring a red circle centered on a white field symbolizing the rising sun.
  • B. Japan
    Japan is an East Asian island nation in the Pacific Ocean known for its advanced technology, rich cultural heritage, and major cities such as Tokyo, Osaka, and Kyoto.
  • C. NLS
    NLS (oN-Line System) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and collaborative editing.
  • D. Osaka Prefecture
    Osaka Prefecture is a populous and economically vital region in Japan’s Kansai area, centered on the city of Osaka and known as a major hub of commerce, industry, and culture.
  • E. Osaka
    Osaka is Japan's third-largest city and a major economic, cultural, and historical hub known for its vibrant street food, bustling nightlife, and role as a commercial center in the Kansai region.
  • 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: Kanji
Triple: [Japan, writingSystem, Kanji]
Generated description
Kanji are logographic characters of Chinese origin used in the Japanese writing system alongside hiragana and katakana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kanji
Target entity description: Kanji are logographic characters of Chinese origin used in the Japanese writing system alongside hiragana and katakana.
  • A. Vietnamese alphabet
    The Vietnamese alphabet is a modern Latin-based writing system that uses additional diacritics to represent the tones and specific sounds of the Vietnamese language.
  • B. Hinomaru
    Hinomaru is the national flag of Japan, featuring a red circle centered on a white field symbolizing the rising sun.
  • C. Japan
    Japan is an East Asian island nation in the Pacific Ocean known for its advanced technology, rich cultural heritage, and major cities such as Tokyo, Osaka, and Kyoto.
  • D. NLS
    NLS (oN-Line System) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and collaborative editing.
  • E. Kt
    Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
  • 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_69a23bb612708190b09f25385e4b63d1 completed Feb. 28, 2026, 12:49 a.m.
NER Named-entity recognition batch_69a23ff1903c8190a7d1051b4795eecd completed Feb. 28, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a248deaab88190952bad0998755baf completed Feb. 28, 2026, 1:46 a.m.
NEDg Description generation batch_69a24cd6aa80819084770080b00c6e49 completed Feb. 28, 2026, 2:03 a.m.
NED2 Entity disambiguation (via description) batch_69a24d8ad4dc8190a011b92da1c3ddde completed Feb. 28, 2026, 2:06 a.m.
Created at: Feb. 28, 2026, 12:54 a.m.