Triple

T356160
Position Surface form Disambiguated ID Type / Status
Subject Kyoto University E7546 entity
Predicate shortName P43 FINISHED
Object Kyodai
Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
E49321 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: Kyodai | Statement: [Kyoto University, shortName, Kyodai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyodai
Context triple: [Kyoto University, shortName, Kyodai]
  • A. Shōda
    Shōda is a Japanese surname notably borne by Michiko Shōda, who became Empress Michiko of Japan.
  • B. Taihoku
    Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
  • C. Shōhō
    Shōhō was a Japanese light aircraft carrier of the Imperial Japanese Navy during World War II, notable for being the first Japanese carrier sunk in the war during the Battle of the Coral Sea.
  • D. Taishin-in
    Taishin-in was Japan’s prewar highest judicial body, serving as the nation’s supreme court under the Meiji Constitution before being replaced by the modern Supreme Court of Japan.
  • E. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • 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: Kyodai
Triple: [Kyoto University, shortName, Kyodai]
Generated description
Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kyodai
Target entity description: Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
  • A. Shōda
    Shōda is a Japanese surname notably borne by Michiko Shōda, who became Empress Michiko of Japan.
  • B. Taihoku
    Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
  • C. Shōhō
    Shōhō was a Japanese light aircraft carrier of the Imperial Japanese Navy during World War II, notable for being the first Japanese carrier sunk in the war during the Battle of the Coral Sea.
  • D. Taishin-in
    Taishin-in was Japan’s prewar highest judicial body, serving as the nation’s supreme court under the Meiji Constitution before being replaced by the modern Supreme Court of Japan.
  • E. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • 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_69a2e7e696948190bebc966535995e45 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebad8bf08190b4a38ffd9157d641 completed Feb. 28, 2026, 1:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4034be57081908209a54a641a09f3 completed March 1, 2026, 9:13 a.m.
NEDg Description generation batch_69a403ede50481908621bdcbbc12ebe5 completed March 1, 2026, 9:16 a.m.
NED2 Entity disambiguation (via description) batch_69a40451d2f881909b90d6d21c55c497 completed March 1, 2026, 9:18 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.