Triple

T493659
Position Surface form Disambiguated ID Type / Status
Subject Yakutsk Time E10242 entity
Predicate alignmentWithJSTDependsOn P1022 FINISHED
Object Russian daylight saving time 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: Russian daylight saving time policies | Statement: [Yakutsk Time, alignmentWithJSTDependsOn, Russian daylight saving time policies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alignmentWithJSTDependsOn
Context triple: [Yakutsk Time, alignmentWithJSTDependsOn, Russian daylight saving time policies]
  • A. alignsWith
    Indicates that one entity is in agreement, harmony, or consistent correspondence with another in terms of position, direction, standard, or principle.
  • B. hasDependency chosen
    Indicates that one entity relies on or requires another entity in order to function, exist, or be fulfilled.
  • C. alignmentChange
    Indicates a change in the moral, ethical, or factional stance of an entity relative to its previous alignment.
  • D. positionedAgainst
    Indicates that one entity is placed so that it directly faces or is set opposite to another entity, often in close or contacting alignment.
  • E. areBasedOn
    Indicates that one entity is founded, derived, or developed from the principles, content, or structure of another entity.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f0fbfa408190aeb3b93996a35c00 completed Feb. 28, 2026, 1:43 p.m.
PD Predicate disambiguation batch_69a2edf90ca88190b6a182e5b6733612 completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.