Triple

T6218426
Position Surface form Disambiguated ID Type / Status
Subject Selk'nam E139048 entity
Predicate religiousCeremonyFeature P65752 FINISHED
Object gendered ritual roles 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: gendered ritual roles | Statement: [Selk'nam, religiousCeremonyFeature, gendered ritual roles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousCeremonyFeature
Context triple: [Selk'nam, religiousCeremonyFeature, gendered ritual roles]
  • A. religiousEvent
    Indicates that an event is related to religious practices, observances, or ceremonies.
  • B. religiousFunction
    Indicates that one entity serves a religious role, purpose, or function in relation to another entity.
  • C. ritualStructure
    Indicates a relationship where an entity is a structure or built feature specifically used for performing rituals or ceremonial practices.
  • D. religiousActivity
    Indicates participation in, performance of, or association with practices, rituals, or behaviors related to a religion or faith tradition.
  • E. ritualActivities chosen
    Indicates that one entity engages in, performs, or is associated with ritualistic or ceremonial activities in relation to another entity or context.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062a481908190a1418d9fcfaf8137 completed March 22, 2026, 9:44 p.m.
PD Predicate disambiguation batch_69c055fdea3c81908f5d910f0d36234a completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:21 p.m.