Triple

T1269717
Position Surface form Disambiguated ID Type / Status
Subject Tevet E15681 entity
Predicate follows P134 FINISHED
Object Kislev E15081 NE 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: Kislev | Statement: [Tevet, follows, Kislev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kislev
Context triple: [Tevet, follows, Kislev]
  • A. Kislev chosen
    Kislev is a late autumn/early winter month in the Hebrew calendar traditionally associated with the festival of Hanukkah.
  • B. Tevet
    Tevet is a winter month in the Hebrew calendar, typically falling in December–January and associated with several Jewish fasts and historical commemorations.
  • C. Nisan
    Nisan is the first month of the Hebrew religious year, traditionally associated with spring and the festival of Passover.
  • D. Cheshvan
    Cheshvan is the eighth month of the Hebrew calendar, traditionally noted for having no major Jewish holidays.
  • E. Iyar
    Iyar is the second month of the Hebrew calendar’s religious year, falling in spring and associated with events such as Israel’s Independence Day and Lag BaOmer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c0691d70819088e57c78ff34af1e completed March 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac99898bdc8190bbbe28083b4a548b completed March 7, 2026, 9:32 p.m.
Created at: March 1, 2026, 7:50 p.m.