Triple

T1019177
Position Surface form Disambiguated ID Type / Status
Subject Batak E22000 entity
Predicate traditionalRitual P4193 FINISHED
Object funerary ceremonies 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: funerary ceremonies | Statement: [Batak, traditionalRitual, funerary ceremonies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalRitual
Context triple: [Batak, traditionalRitual, funerary ceremonies]
  • A. ritualSpecialist
    Indicates that one entity serves as a designated expert or practitioner responsible for performing or overseeing rituals in relation to another entity or context.
  • B. culturalTradition
    Indicates a relationship where certain practices, beliefs, or customs are recognized as part of a shared cultural heritage passed down within a group or society.
  • C. hasRitual chosen
    Indicates that an entity performs, observes, or is associated with a specific ritual or ceremonial practice.
  • D. traditionAscribes
    Indicates that a tradition attributes or assigns a particular quality, role, origin, or action to an entity.
  • E. notableRite
    Indicates that an entity is associated with a significant or distinguished ritual, ceremony, or formal rite.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7c6005081909d9e56114c532d14 completed March 1, 2026, 10:03 p.m.
PD Predicate disambiguation batch_69a4b7238d4c8190b22d6c2ac0ac4911 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:41 p.m.