Triple

T15804455
Position Surface form Disambiguated ID Type / Status
Subject Musaf of Shemini Atzeret E383174 entity
Predicate includesPiyyut P51403 FINISHED
Object various piyyutim depending on custom 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: various piyyutim depending on custom | Statement: [Musaf of Shemini Atzeret, includesPiyyut, various piyyutim depending on custom]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesPiyyut
Context triple: [Musaf of Shemini Atzeret, includesPiyyut, various piyyutim depending on custom]
  • A. includesPiyyutimInSomeRites chosen
    Indicates that certain liturgical rites contain or incorporate specific piyyutim (liturgical poems).
  • B. containsParshiyot
    Indicates that one textual or structural unit (such as a Torah scroll or section) includes within it one or more parshiyot (distinct Torah portions or sections).
  • C. includesMegillot
    Indicates that one entity contains or encompasses the set of texts or items referred to as Megillot.
  • D. usesLiturgicalMelody
    Indicates that one entity employs or incorporates a specific liturgical melody in its music or performance.
  • E. includesLiturgicalUse
    Indicates that something encompasses or involves use within a liturgical or formal religious worship context.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b525b1c08190acffab06d89dbdbe completed April 16, 2026, 10:08 a.m.
PD Predicate disambiguation batch_69e0053b847c8190945726c3ddac21cc completed April 15, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:48 a.m.