Triple

T16206750
Position Surface form Disambiguated ID Type / Status
Subject Kanmu E393347 entity
Predicate placeOfDeath P21 FINISHED
Object Heian-kyō, Japan E10010 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: Heian-kyō, Japan | Statement: [Kanmu, placeOfDeath, Heian-kyō, Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heian-kyō, Japan
Context triple: [Kanmu, placeOfDeath, Heian-kyō, Japan]
  • A. Tamagawa, Japan
    Tamagawa, Japan is a small Japanese municipality known for its local community life and cultural exchange ties with international sister cities.
  • B. Kyoto chosen
    Kyoto is a historic Japanese city renowned for its well-preserved temples, traditional wooden houses, and role as the former imperial capital.
  • C. Kyoto
    Kyoto is a 2018 studio album by American rapper Tyga that blends melodic rap with R&B influences.
  • D. Kamakura
    Kamakura is a historic coastal city in Japan renowned for its Great Buddha statue, numerous temples and shrines, and role as the political center of the Kamakura shogunate.
  • E. Katsushika, Tokyo
    Katsushika, Tokyo is a northeastern special ward of Tokyo known for its traditional shitamachi atmosphere, residential neighborhoods, and riverside areas along the Edogawa and Arakawa.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e227101a3c819095ef40e50bf66433 completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ed13b40819096de333872225730 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:03 a.m.