Triple

T27635395
Position Surface form Disambiguated ID Type / Status
Subject Naiku E696455 entity
Predicate hasEnshrinedKami P173222 FINISHED
Object Amaterasu Ōmikami NE NERFINISHED

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: Amaterasu Ōmikami | Statement: [Naiku, hasEnshrinedKami, Amaterasu Ōmikami]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEnshrinedKami
Context triple: [Naiku, hasEnshrinedKami, Amaterasu Ōmikami]
  • A. isMostSacredShrineOf
    Indicates that one entity is regarded as the holiest or most sacred shrine associated with another entity (such as a deity, religion, or tradition).
  • B. hasMajorShrine
    Indicates that one entity serves as a principal or primary shrine dedicated to another entity.
  • C. containsFamousShrine
    Indicates that a location includes within its boundaries a shrine that is widely recognized or renowned.
  • D. hasShrinesIn
    Indicates that one entity possesses or maintains shrines that are located within the area or domain of another entity.
  • E. hasTorii
    Indicates that something possesses or features a torii gate as part of its structure or environment.
  • F. None of above. chosen

Provenance (4 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_69ef5909f3848190805f35b76833e722 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f6b342499c8190b85009a3f0f179e4 completed May 3, 2026, 2:30 a.m.
PD Predicate disambiguation batch_69f6b14d7d508190bc7d4c89dfba4a32 completed May 3, 2026, 2:22 a.m.
PDg Predicate description generation batch_69f6b2a31e008190aacef03c2ebe5787 completed May 3, 2026, 2:27 a.m.
Created at: April 27, 2026, 2:23 p.m.