Triple

T2460878
Position Surface form Disambiguated ID Type / Status
Subject Pushkar Fair E54529 entity
Predicate religiousRitual P31000 FINISHED
Object holy dip in Pushkar Lake 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: holy dip in Pushkar Lake | Statement: [Pushkar Fair, religiousRitual, holy dip in Pushkar Lake]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousRitual
Context triple: [Pushkar Fair, religiousRitual, holy dip in Pushkar Lake]
  • A. religiousFunction
    Indicates that one entity serves a religious role, purpose, or function in relation to another entity.
  • B. ritualPurpose
    Indicates the intended function, goal, or role that a ritual is meant to serve or fulfill.
  • C. ritualStructure
    Indicates a relationship where an entity is a structure or built feature specifically used for performing rituals or ceremonial practices.
  • D. religiousEvent chosen
    Indicates that an event is related to religious practices, observances, or ceremonies.
  • E. ritualCharacteristics
    Indicates the defining features, practices, or attributes that characterize a particular ritual.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd49c5aa081909ab4f726a458b77f completed March 7, 2026, 7:32 a.m.
PD Predicate disambiguation batch_69abd0b199488190aa381b36593ae1ac completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:44 p.m.