Triple

T37652256
Position Surface form Disambiguated ID Type / Status
Subject Terecô E937203 entity
Predicate hasRitualTime P194450 FINISHED
Object night 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: night ceremonies | Statement: [Terecô, hasRitualTime, night ceremonies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRitualTime
Context triple: [Terecô, hasRitualTime, night ceremonies]
  • A. hasRitual
    Indicates that an entity performs, observes, or is associated with a specific ritual or ceremonial practice.
  • B. hasRitualStage
    Indicates that something is associated with, or occurs during, a particular stage within a ritual process.
  • C. hasRitualSequence
    Indicates that one ritual is ordered to occur before or after another within a defined ceremonial sequence.
  • D. hasRitualSetting
    Indicates that an entity is associated with a specific ritual context or environment in which it is performed, observed, or situated.
  • E. hasRitualDay
    Indicates that a specific day is designated or associated as the ritual or ceremonial day for an entity.
  • 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_69f76ed4fe908190b8061c5c135e0971 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fd6f9d600c8190acf495b7fc632e4b completed May 8, 2026, 5:07 a.m.
PD Predicate disambiguation batch_69fd6e98a2948190a9f78c415ad23b8c completed May 8, 2026, 5:03 a.m.
PDg Predicate description generation batch_69fd6f9a8bd881909983fe8f4cd0ba98 completed May 8, 2026, 5:07 a.m.
Created at: May 3, 2026, 4:18 p.m.