Triple

T15828073
Position Surface form Disambiguated ID Type / Status
Subject Qashqai confederation E383794 entity
Predicate opposedGovernmentPolicy P100421 FINISHED
Object Reza Shah Pahlavi sedentarization policies 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: Reza Shah Pahlavi sedentarization policies | Statement: [Qashqai confederation, opposedGovernmentPolicy, Reza Shah Pahlavi sedentarization policies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: opposedGovernmentPolicy
Context triple: [Qashqai confederation, opposedGovernmentPolicy, Reza Shah Pahlavi sedentarization policies]
  • A. opposedPolicyContext chosen
    Indicates that an entity opposed a specific policy within a particular situational, temporal, or institutional context.
  • B. opposedAdministration
    Indicates that one entity actively resisted, challenged, or worked against the governance, policies, or authority exercised by another entity or administration.
  • C. opposedPolicyOfPredecessor
    Indicates that one entity actively rejected, resisted, or worked against the policies established by its predecessor.
  • D. opposedBy
    Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
  • E. opposedProject
    Indicates that an entity actively resisted, disagreed with, or worked against a particular project.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e61c7508190ba1f675f2092364c completed April 16, 2026, 5:37 p.m.
PD Predicate disambiguation batch_69e005418f588190824d91ff7974dada completed April 15, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:49 a.m.