Triple

T25629193
Position Surface form Disambiguated ID Type / Status
Subject Ñuu Savi E642525 entity
Predicate codicesFunctionAs P159782 FINISHED
Object ritual guides 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: ritual guides | Statement: [Ñuu Savi, codicesFunctionAs, ritual guides]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: codicesFunctionAs
Context triple: [Ñuu Savi, codicesFunctionAs, ritual guides]
  • A. codicesFunctionAs chosen
    Indicates that certain codices serve a particular role, purpose, or function in relation to something else.
  • B. codifiedIn
    Indicates that something is formally recorded, defined, or established within a specific document, code, or legal/institutional text.
  • C. codifiedThrough
    Indicates that something is formally established, expressed, or made authoritative by means of a specific codification process, document, or legal/institutional mechanism.
  • D. sisterCodex
    Indicates a sibling relationship where one codex or text is considered a sister counterpart to another, typically implying close similarity, shared origin, or parallel status.
  • E. codificationPatron
    Indicates a relationship where one entity serves as the sponsor, supporter, or driving force behind the formal codification or systematic organization of another entity’s rules, practices, or knowledge.
  • 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_69e77e7bd4548190a0c691b8a2f27ff1 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f606c79ad081908369605f72e65ca6 completed May 2, 2026, 2:14 p.m.
PD Predicate disambiguation batch_69f602ce79ec8190b8336c2b9de18ac7 completed May 2, 2026, 1:57 p.m.
Created at: April 21, 2026, 5:16 p.m.