Triple

T423970
Position Surface form Disambiguated ID Type / Status
Subject Tohoku University E8164 entity
Predicate shortName P43 FINISHED
Object Tohoku U
Tohoku U is a leading national research university in Sendai, Japan, renowned for its engineering, science, and materials research.
 E56872 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: Tohoku U | Statement: [Tohoku University, shortName, Tohoku U]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tohoku U
Context triple: [Tohoku University, shortName, Tohoku U]
  • A. Higashi Shina Kai
    Higashi Shina Kai is the Japanese name for the East China Sea, a marginal sea located between China, Japan, Taiwan, and the Korean Peninsula.
  • B. Kyodai
    Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
  • C. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • D. Matsubara
    Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
  • E. Taihoku
    Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
  • 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: Tohoku U
Triple: [Tohoku University, shortName, Tohoku U]
Generated description
Tohoku U is a leading national research university in Sendai, Japan, renowned for its engineering, science, and materials research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tohoku U
Target entity description: Tohoku U is a leading national research university in Sendai, Japan, renowned for its engineering, science, and materials research.
  • A. Higashi Shina Kai
    Higashi Shina Kai is the Japanese name for the East China Sea, a marginal sea located between China, Japan, Taiwan, and the Korean Peninsula.
  • B. Kyodai
    Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
  • C. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • D. Matsubara
    Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
  • E. Taihoku
    Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eed3e4cc8190ba6aff3bd1adb06f completed Feb. 28, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a447fa97ac8190b8a19ded2d0f520e completed March 1, 2026, 2:06 p.m.
NEDg Description generation batch_69a44b9ab54c8190a0f74337479b9d7b completed March 1, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_69a44bf14ab88190bc8e699049fcdbc1 completed March 1, 2026, 2:23 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.