Triple

T5915470
Position Surface form Disambiguated ID Type / Status
Subject Jalali calendar E131568 entity
Predicate accuracyComparedToTropicalYear P67672 FINISHED
Object very high 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: very high | Statement: [Jalali calendar, accuracyComparedToTropicalYear, very high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: accuracyComparedToTropicalYear
Context triple: [Jalali calendar, accuracyComparedToTropicalYear, very high]
  • A. driftPerYearRelativeToTropicalYearDays
    Indicates the amount of calendar drift, measured in days per year, relative to the length of the tropical year.
  • B. driftPerCenturyRelativeToTropicalYearDays
    Indicates the amount of timing drift, measured in days per century, of something relative to the length of the tropical year.
  • C. hasAverageYearLength
    Indicates that one entity has a specified average duration for its year (orbital period), typically measured over time.
  • D. accuracyComparedToJulian
    Indicates how the accuracy of something compares to that of the Julian calendar as a reference standard.
  • E. averageYearError
    Indicates the average deviation, in years, between predicted and actual temporal values across instances.
  • F. None of above. chosen

Provenance (4 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c048fc112c8190b905bf561c9de096 completed March 22, 2026, 7:54 p.m.
PD Predicate disambiguation batch_69c03352208c8190968efed05a9fd416 completed March 22, 2026, 6:22 p.m.
PDg Predicate description generation batch_69c048fb02a081908e78629e1e283cd0 completed March 22, 2026, 7:54 p.m.
Created at: March 22, 2026, 3:59 p.m.