Triple

T2998720
Position Surface form Disambiguated ID Type / Status
Subject Purim Katan E81132 entity
Predicate liturgicalNote P44946 FINISHED
Object no special Torah or haftarah reading 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 special Torah or haftarah reading | Statement: [Purim Katan, liturgicalNote, no special Torah or haftarah reading]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: liturgicalNote
Context triple: [Purim Katan, liturgicalNote, no special Torah or haftarah reading]
  • A. liturgicalUsage
    Indicates how something is used, practiced, or functions within a specific liturgical or worship context.
  • B. liturgicalSetting
    Indicates the specific religious or worship context in which a liturgical text, action, or element is intended to be used.
  • C. liturgicalMoment
    Indicates the specific point or phase within a liturgical or religious service at which an action, prayer, or ritual occurs.
  • D. liturgicalTheme
    Indicates the religious or worship-related theme that characterizes or frames a liturgical action, text, or event.
  • E. usesAlsoLiturgy
    Indicates that an entity additionally employs or follows a particular liturgy alongside its primary or other liturgical practices.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99f766408190a5591efce8346bb9 completed March 8, 2026, 3:47 p.m.
PD Predicate disambiguation batch_69ad9615fefc8190ad96da92519cb7a3 completed March 8, 2026, 3:30 p.m.
PDg Predicate description generation batch_69ad97ba55dc8190b6dddddfb751cf64 completed March 8, 2026, 3:37 p.m.
Created at: March 8, 2026, 2:59 p.m.