Triple

T16442965
Position Surface form Disambiguated ID Type / Status
Subject Ten'ō E399349 entity
Predicate successorEra P78 FINISHED
Object Enryaku E393349 NE FINISHED

How this triple was built (2 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: Enryaku | Statement: [Ten'ō, successorEra, Enryaku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enryaku
Context triple: [Ten'ō, successorEra, Enryaku]
  • A. Enryaku chosen
    Enryaku was a Japanese era during the reign of Emperor Kanmu, notable for major political reforms and the early development of Kyoto as the imperial capital.
  • B. Yasakaji
    Yasakaji is a Buddhist temple in Japan known as Temple 47 on the Shikoku Pilgrimage.
  • C. Genryaku
    Genryaku was a late 12th-century Japanese era notable for political upheaval and the rise of the Kamakura shogunate.
  • D. Arinori
    Arinori was a given name of Mori Arinori, a prominent Meiji-era Japanese statesman and reformer known for modernizing Japan’s education system.
  • E. Michitsura
    Michitsura is a Japanese given name, notably borne by the Imperial Japanese Army general Nozu Michitsura.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cd8d2988190acb5722a15623319 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a005815efc48190868305f428cb9085 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:10 a.m.