Triple

T21844133
Position Surface form Disambiguated ID Type / Status
Subject Yima E539330 entity
Predicate builds P3143 FINISHED
Object Vara of Yima
Vara of Yima is a mythical underground enclosure in Zoroastrian tradition, constructed by the culture hero Yima to preserve the best of creation from an impending world-destroying winter.
 E1504899 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: Vara of Yima | Statement: [Yima, builds, Vara of Yima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vara of Yima
Context triple: [Yima, builds, Vara of Yima]
  • A. Zihou
    Zihou is the courtesy name of Zhang Zai, an influential 11th-century Chinese Neo-Confucian philosopher of the Song dynasty.
  • B. Kamsa
    Kamsa is a tyrannical king in Hindu mythology, best known as the evil uncle and nemesis of Lord Krishna.
  • C. Vana-Kaiu
    Vana-Kaiu is a small village located in Rapla County in central Estonia.
  • D. Shalla-Bal
    Shalla-Bal is a prominent Marvel Comics character, the beloved of the Silver Surfer and often the spiritual and political leader of his homeworld, Zenn-La.
  • E. Yukong
    Yukong was the former name of SK Energy, a major South Korean petroleum and energy company within the SK Group conglomerate.
  • 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: Vara of Yima
Triple: [Yima, builds, Vara of Yima]
Generated description
Vara of Yima is a mythical underground enclosure in Zoroastrian tradition, constructed by the culture hero Yima to preserve the best of creation from an impending world-destroying winter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vara of Yima
Target entity description: Vara of Yima is a mythical underground enclosure in Zoroastrian tradition, constructed by the culture hero Yima to preserve the best of creation from an impending world-destroying winter.
  • A. Zihou
    Zihou is the courtesy name of Zhang Zai, an influential 11th-century Chinese Neo-Confucian philosopher of the Song dynasty.
  • B. Kamsa
    Kamsa is a tyrannical king in Hindu mythology, best known as the evil uncle and nemesis of Lord Krishna.
  • C. Vana-Kaiu
    Vana-Kaiu is a small village located in Rapla County in central Estonia.
  • D. Shalla-Bal
    Shalla-Bal is a prominent Marvel Comics character, the beloved of the Silver Surfer and often the spiritual and political leader of his homeworld, Zenn-La.
  • E. Yukong
    Yukong was the former name of SK Energy, a major South Korean petroleum and energy company within the SK Group conglomerate.
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0bd5248f08190ba208512eafbe7ad completed April 28, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a4bc8b0fc8190a1ce537e302a3458 completed May 17, 2026, 11:14 p.m.
NEDg Description generation batch_6a0a4cbcf4f88190b62e37214f00c496 completed May 17, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_6a0a4d213ea48190b170e28b10a0c92f completed May 17, 2026, 11:20 p.m.
Created at: April 16, 2026, 6:55 p.m.