Triple

T5207408
Position Surface form Disambiguated ID Type / Status
Subject Shinto shrines E117544 entity
Predicate mainDeityLocation P62019 FINISHED
Object honden LITERAL 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: honden | Statement: [Shinto shrines, mainDeityLocation, honden]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainDeityLocation
Context triple: [Shinto shrines, mainDeityLocation, honden]
  • A. mainDeity
    Indicates that one entity serves as the primary or chief deity worshiped, revered, or associated with another entity (such as a religion, temple, or culture).
  • B. patronDeityOf
    Indicates that one entity serves as the protective or primary deity associated with, worshipped by, or presiding over another entity (such as a person, group, or place).
  • C. majorTempleLocation
    Indicates that a major temple associated with an entity is located at a specified place.
  • D. mythologicalLocation
    Indicates that the subject is a place or setting that exists within mythology, legends, or folklore rather than in historical or physical reality.
  • E. majorShrineLocation
    Indicates that a major religious shrine is located at or associated with a particular place or geographic location.
  • 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_69bd4463dd3c81909966123f20b79d57 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a4a7b7c8190af5a7149f8fe4f87 completed March 20, 2026, 4:48 p.m.
PD Predicate disambiguation batch_69bd77bb4e8c819094b5ac7cf61512f9 completed March 20, 2026, 4:37 p.m.
PDg Predicate description generation batch_69bd79000cf88190b3c05d95395b0cd2 completed March 20, 2026, 4:42 p.m.
Created at: March 20, 2026, 1:47 p.m.