Triple

T847402
Position Surface form Disambiguated ID Type / Status
Subject Treaty of Trianon E18305 entity
Predicate hasLongTermConsequence P812 FINISHED
Object revisionist politics in interwar Hungary 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: revisionist politics in interwar Hungary | Statement: [Treaty of Trianon, hasLongTermConsequence, revisionist politics in interwar Hungary]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLongTermConsequence
Context triple: [Treaty of Trianon, hasLongTermConsequence, revisionist politics in interwar Hungary]
  • A. hasConsequence chosen
    Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
  • B. hasTragicPast
    Indicates that an entity has experienced a significantly sorrowful or traumatic history that influences its present state or characterization.
  • C. hasTendency
    Indicates that an entity is inclined or likely to exhibit a particular behavior, characteristic, or outcome under certain conditions.
  • D. hasNotableHazard
    Indicates that an entity is associated with a significant risk, danger, or harmful condition that is noteworthy or exceptional.
  • E. hasDam
    Indicates that a watercourse, reservoir, or similar feature is impounded or controlled by a specific dam.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac0ba6b4819089c15ed7e1765502 completed March 1, 2026, 9:13 p.m.
PD Predicate disambiguation batch_69a4aa807adc8190ad808a573cf8e923 completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:38 p.m.