Triple

T32359479
Position Surface form Disambiguated ID Type / Status
Subject Wari provincial administration E826819 entity
Predicate usedBureaucraticMechanism P155054 FINISHED
Object standardized architectural modules 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: standardized architectural modules | Statement: [Wari provincial administration, usedBureaucraticMechanism, standardized architectural modules]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedBureaucraticMechanism
Context triple: [Wari provincial administration, usedBureaucraticMechanism, standardized architectural modules]
  • A. usedGovernmentSystem
    Indicates that an entity employed or operated under a particular form or system of government.
  • B. mechanismBy chosen
    Indicates that one entity occurs, is produced, or is brought about by means of another entity, which serves as its mechanism or causal process.
  • C. notMechanism
    Indicates that the specified relationship or effect does not occur through the given mechanism or causal process.
  • D. mentionsMechanism
    Indicates that one entity explicitly refers to or describes the mechanism, process, or causal pathway by which another entity operates or produces an effect.
  • E. usedAdministrativeSystemOf
    Indicates that one entity made use of another entity’s administrative system to perform or manage its administrative functions.
  • 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_69f34915a2588190bb3178f5ec2f48f4 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fb2e940d5c8190bceae77daf4ef512 completed May 6, 2026, 12:05 p.m.
PD Predicate disambiguation batch_69f9fec70bd881909c658a3c5020318b completed May 5, 2026, 2:29 p.m.
Created at: May 1, 2026, 12:49 a.m.