Triple

T21240354
Position Surface form Disambiguated ID Type / Status
Subject Narayan Guru E523452 entity
Predicate religiousReform P41349 FINISHED
Object consecration of temples open to all castes 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: consecration of temples open to all castes | Statement: [Narayan Guru, religiousReform, consecration of temples open to all castes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousReform
Context triple: [Narayan Guru, religiousReform, consecration of temples open to all castes]
  • A. religiousReformImpact
    Indicates the effect that a religious reform has on beliefs, practices, institutions, or social structures.
  • B. reformationMethod
    Indicates the method or process by which something is reformed, corrected, or transformed from a prior state.
  • C. religionBeforeReformation
    Indicates that an entity’s religious affiliation or practice existed or was established prior to the historical period known as the Reformation.
  • D. typicalReligionAfterReformation
    Indicates the predominant religion an entity adhered to following the Reformation period.
  • E. underwentReformation chosen
    Indicates that an entity experienced a significant process of change, restructuring, or reform that altered its previous state or practices.
  • F. None of above.

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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73522acdc8190b3e155026a0445cd completed April 21, 2026, 8:28 a.m.
PD Predicate disambiguation batch_69e5f60e1a888190ba75e2e900270a4e completed April 20, 2026, 9:46 a.m.
Created at: April 16, 2026, 3:46 p.m.