Triple

T5486223
Position Surface form Disambiguated ID Type / Status
Subject Swaminarayan temples E123586 entity
Predicate visitorPractice P64322 FINISHED
Object removal of footwear before entry 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: removal of footwear before entry | Statement: [Swaminarayan temples, visitorPractice, removal of footwear before entry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: visitorPractice
Context triple: [Swaminarayan temples, visitorPractice, removal of footwear before entry]
  • A. visitorUse
    Indicates that an entity is being used, accessed, or engaged with by a visitor or temporary user.
  • B. visitorStatus
    Indicates the current state or condition of an entity in its role as a visitor (e.g., whether they are active, pending, past, or otherwise classified in their visit).
  • C. visitorCenter
    Indicates that a location serves as a visitor center for a place, providing information or services to visitors of that place.
  • D. visitorProfile
    Indicates a relationship where a profile encapsulates information or attributes associated with a particular visitor.
  • E. visitorInformation
    Indicates that information or details are provided for or about visitors in relation to a particular place, service, or event.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd93e5d0f08190a6cc9fc408b7c5bb completed March 20, 2026, 6:37 p.m.
PD Predicate disambiguation batch_69bd91a73b148190a865243536a4fe76 completed March 20, 2026, 6:27 p.m.
PDg Predicate description generation batch_69bd93e4d2d081908eb75ee22fe72824 completed March 20, 2026, 6:37 p.m.
Created at: March 20, 2026, 2:10 p.m.