Triple

T19708706
Position Surface form Disambiguated ID Type / Status
Subject Sajibu Nongma Panba E473282 entity
Predicate typicalGregorianTime P29012 FINISHED
Object March 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: March | Statement: [Sajibu Nongma Panba, typicalGregorianTime, March]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalGregorianTime
Context triple: [Sajibu Nongma Panba, typicalGregorianTime, March]
  • A. positionInGregorianCalendar chosen
    Indicates the specific placement or ordering of a time-related entity within the structure of the Gregorian calendar.
  • B. calendarEpoch
    Indicates the reference starting point in time from which a particular calendar system counts its dates.
  • C. usesJulianCalendar
    Indicates that the subject follows or is based on the Julian calendar system for dating events or timekeeping.
  • D. timeInSolarCalendar
    Indicates that a specified time or date is expressed according to a solar-based calendar system rather than another type of calendar.
  • E. followsGregorianCalendar
    Indicates that the entity uses or adheres to the Gregorian calendar system for dating and timekeeping.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642bc754481908bdf5bfad069aec8 completed April 20, 2026, 3:14 p.m.
PD Predicate disambiguation batch_69e530438c60819082364c7be3eef6f0 completed April 19, 2026, 7:42 p.m.
Created at: April 10, 2026, 1:46 p.m.