Triple

T743661
Position Surface form Disambiguated ID Type / Status
Subject founding of the Republic of Turkey E15294 entity
Predicate triggeredChange P6009 FINISHED
Object transition from empire to nation-state 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: transition from empire to nation-state | Statement: [founding of the Republic of Turkey, triggeredChange, transition from empire to nation-state]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: triggeredChange
Context triple: [founding of the Republic of Turkey, triggeredChange, transition from empire to nation-state]
  • A. triggered
    Indicates that one entity causes an event, action, or process involving another entity to start or occur.
  • B. triggerEvent
    Indicates that one entity causes or initiates the occurrence of a specific event involving another entity or the system.
  • C. functionChange
    Indicates that an entity’s function, role, or operational behavior has been altered from one state or purpose to another.
  • D. changeReason
    Indicates the reason or justification for a modification or change made to an entity or its state.
  • E. reasonForChange chosen
    Indicates that one entity serves as the cause, justification, or motivation for a modification or change in another entity or state.
  • 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_69a49358aa308190adbc9b5a0a2adcf9 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a610ba9881908b4e5e7dcc6ed0f5 completed March 1, 2026, 8:48 p.m.
PD Predicate disambiguation batch_69a4a4fdaaf48190985f62acfc069508 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.