Triple

T25421985
Position Surface form Disambiguated ID Type / Status
Subject Saka era E637008 entity
Predicate hasYearZero P6439 FINISHED
Object no 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: no | Statement: [Saka era, hasYearZero, no]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasYearZero
Context triple: [Saka era, hasYearZero, no]
  • A. hasApproxGregorianStart
    Indicates that an entity has an associated start date expressed as an approximate value in the Gregorian calendar.
  • B. doesNotUseLeapMonths
    Indicates that the referenced calendar or timekeeping system does not incorporate leap months to adjust for discrepancies between its cycle and the astronomical year.
  • C. yearZero chosen
    Indicates that the referenced year is designated as the starting point (year 0) of a particular calendar, timeline, or counting system.
  • D. hasNoFixedGregorianDates
    Indicates that the associated event or occurrence does not recur on the same fixed dates in the Gregorian calendar each time it happens.
  • E. calendarYearOffsetFromGregorian
    Indicates the number of whole calendar years by which a given calendar system is offset relative to 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_69e75db4135881909acc287ebcb7a505 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f6bd517c819086c0e8e9c2dce972 completed May 2, 2026, 1:06 p.m.
PD Predicate disambiguation batch_69f45d0dbc8c8190beecce679fce90a4 completed May 1, 2026, 7:58 a.m.
Created at: April 21, 2026, 1:56 p.m.