Triple

T28395154
Position Surface form Disambiguated ID Type / Status
Subject Toqta E719265 entity
Predicate successorPolicyInfluence P173676 FINISHED
Object paved the way for Öz Beg Khan’s Islamization 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: paved the way for Öz Beg Khan’s Islamization policies | Statement: [Toqta, successorPolicyInfluence, paved the way for Öz Beg Khan’s Islamization policies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: successorPolicyInfluence
Context triple: [Toqta, successorPolicyInfluence, paved the way for Öz Beg Khan’s Islamization policies]
  • A. successorPolicy
    Indicates that one policy follows or replaces another policy in a sequence or hierarchy.
  • B. successorFlagInfluence
    Indicates that one entity’s status or behavior as a successor is affected or determined by a flag or indicator associated with another entity.
  • C. successorInPolicy
    Indicates that one policy directly follows and replaces another in a sequence or hierarchy of policies.
  • D. successorRoleInfluence
    Indicates that one role affects, shapes, or determines the characteristics, responsibilities, or authority of the role that succeeds it.
  • E. successorImpacted chosen
    Indicates that a successor entity is affected or influenced as a result of the predecessor’s state, action, or outcome.
  • 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_69eff6efd1b08190ae3cefd4f11388a2 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69fd3d46d1f48190a1b20dd063224b7d completed May 8, 2026, 1:32 a.m.
PD Predicate disambiguation batch_69fd3ae1510c81908fe1280efc17feee completed May 8, 2026, 1:22 a.m.
Created at: April 28, 2026, 1:16 a.m.