Triple

T6007002
Position Surface form Disambiguated ID Type / Status
Subject Kumano Sanzan E133735 entity
Predicate associatedDeity P1481 FINISHED
Object Kannon E234489 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: Kannon | Statement: [Kumano Sanzan, associatedDeity, Kannon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kannon
Context triple: [Kumano Sanzan, associatedDeity, Kannon]
  • A. Kannon chosen
    Kannon is the Japanese name for the bodhisattva of compassion, derived from the Buddhist deity Avalokiteshvara and widely venerated in Japan.
  • B. Ōsu Kannon
    Ōsu Kannon is a famous Buddhist temple in Nagoya, Japan, known for its large wooden statue of Kannon and its surrounding shopping arcade.
  • C. Kanyadaan
    Kanyadaan is a critically acclaimed Marathi play by Vijay Tendulkar that explores caste, idealism, and the complexities of social reform through a turbulent inter-caste marriage.
  • D. Shinaki
    Shinaki is an alternative name for the Shina people, an ethnic group primarily inhabiting the mountainous regions of northern Pakistan and parts of India.
  • E. Shinkiari
    Shinkiari is a town in Pakistan’s Khyber Pakhtunkhwa province, known for its agricultural surroundings and its location along the Karakoram Highway near Mansehra.
  • 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f13d9908190a11d9bef8652db93 completed March 22, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c10895559081908b9efdd32ecef37f completed March 23, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:06 p.m.