Triple

T2113199
Position Surface form Disambiguated ID Type / Status
Subject Counting of the Omer E42548 entity
Predicate LagBaOmerPosition P16472 FINISHED
Object 33rd day of the Omer 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: 33rd day of the Omer | Statement: [Counting of the Omer, LagBaOmerPosition, 33rd day of the Omer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: LagBaOmerPosition
Context triple: [Counting of the Omer, LagBaOmerPosition, 33rd day of the Omer]
  • A. positionInHolyWeek
    Indicates the specific place or order that a day, event, or observance occupies within the sequence of days in Holy Week.
  • B. positionInHebrewCalendar chosen
    Indicates the specific placement or ordering of a time point (such as a date or event) within the structure of the Hebrew calendar.
  • C. timeframeRelativeToPassover
    Indicates the temporal relationship of an event or action to the time of Passover (e.g., before, during, or after Passover).
  • D. timeframeRelativeToRoshHashanah
    Indicates the temporal relationship of an event or period in reference to Rosh Hashanah (e.g., before, during, or after the holiday).
  • E. positionInRomanCalendar
    Indicates the ordinal placement or rank that something occupies within the sequence of months or days in the Roman 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb0495d0819097dc936540743b74 completed March 7, 2026, 5:43 a.m.
PD Predicate disambiguation batch_69abb7ba08948190a3c236bb53ee4257 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:43 p.m.