Triple

T35839311
Position Surface form Disambiguated ID Type / Status
Subject Keres Pueblos E1036028 entity
Predicate hasSacredStructure P170654 FINISHED
Object kiva 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: kiva | Statement: [Keres Pueblos, hasSacredStructure, kiva]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSacredStructure
Context triple: [Keres Pueblos, hasSacredStructure, kiva]
  • A. hasSacredPrecinct chosen
    Indicates that an entity possesses or contains a designated sacred area or precinct associated with religious or ritual significance.
  • B. hasSacredSymbol
    Indicates that one entity serves as a sacred or religiously significant symbol associated with another entity.
  • C. hasTempleOf
    Indicates that a location or entity possesses, contains, or is the site of a temple dedicated to a particular deity, figure, or purpose.
  • D. hasReligiousBuildingAlong
    Indicates that a religious building is located along the course, path, or extent of the referenced entity.
  • E. hasPantheonStructure
    Indicates that an entity possesses or is associated with a pantheon-like hierarchical structure, typically organizing multiple deities or divine figures.
  • 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_69f76e1a29e8819088280f26096aeb55 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fbad1e94988190b86d447a68e65067 completed May 6, 2026, 9:05 p.m.
PD Predicate disambiguation batch_69fba881b8e0819094790935152b99a1 completed May 6, 2026, 8:45 p.m.
Created at: May 3, 2026, 4:06 p.m.