Triple

T1791618
Position Surface form Disambiguated ID Type / Status
Subject Great Zimbabwe E39507 entity
Predicate religiousFeature P2154 FINISHED
Object ritual enclosures 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 enclosures | Statement: [Great Zimbabwe, religiousFeature, ritual enclosures]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousFeature
Context triple: [Great Zimbabwe, religiousFeature, ritual enclosures]
  • A. religiousElement chosen
    Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
  • B. religiousFunction
    Indicates that one entity serves a religious role, purpose, or function in relation to another entity.
  • C. religiousTarget
    Indicates that an action, policy, or behavior is directed at someone or something specifically because of their religion or religious affiliation.
  • D. religionSignificant
    Indicates that a particular religion plays an important or influential role in relation to the referenced entity or context.
  • E. officialReligion
    Indicates that a particular religion is formally recognized and designated as the official or state religion of an entity (such as a country or region).
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab61b6ea188190aab9fb839bf1e367 completed March 6, 2026, 11:22 p.m.
PD Predicate disambiguation batch_69aa61d2f7a8819090301f92d3e358c7 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:32 p.m.