Triple

T9422267
Position Surface form Disambiguated ID Type / Status
Subject Paopi E227181 entity
Predicate approximateGregorianCorrespondence P16936 FINISHED
Object October 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: October | Statement: [Paopi, approximateGregorianCorrespondence, October]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: approximateGregorianCorrespondence
Context triple: [Paopi, approximateGregorianCorrespondence, October]
  • A. dateRelativeToGregorian
    Indicates how a given date is positioned or expressed in relation to the standard Gregorian calendar date.
  • B. calendarYearOffsetFromGregorian
    Indicates the number of whole calendar years by which a given calendar system is offset relative to the Gregorian calendar.
  • C. accuracyComparedToJulian
    Indicates how the accuracy of something compares to that of the Julian calendar as a reference standard.
  • D. usesJulianCalendar
    Indicates that the subject follows or is based on the Julian calendar system for dating events or timekeeping.
  • E. correspondsRoughlyToGregorianMonths chosen
    Indicates that one or more time periods or units align approximately, but not exactly, with specific months in the Gregorian calendar.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd6c2651c48190808281779fab49df completed April 1, 2026, 7:04 p.m.
PD Predicate disambiguation batch_69cca550777c819094e1851a6127cbbc completed April 1, 2026, 4:55 a.m.
Created at: March 30, 2026, 7:48 p.m.