Triple

T764155
Position Surface form Disambiguated ID Type / Status
Subject Adar E16137 entity
Predicate precedes P97 FINISHED
Object Nisan E11370 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: Nisan | Statement: [Adar, precedes, Nisan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nisan
Context triple: [Adar, precedes, Nisan]
  • A. Nisan chosen
    Nisan is the first month of the Hebrew religious year, traditionally associated with spring and the festival of Passover.
  • B. 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.
  • C. Tevet
    Tevet is a winter month in the Hebrew calendar, typically falling in December–January and associated with several Jewish fasts and historical commemorations.
  • D. Sivan
    Sivan is the third month of the Hebrew calendar, traditionally associated with the festival of Shavuot and the giving of the Torah.
  • E. Adar
    Adar is the twelfth month of the Hebrew calendar, traditionally associated with the festival of Purim and themes of joy and celebration.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a69c8c448190a036a04fd8fdd2c2 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6787a808c81908e8db55a7f28ac90 completed March 3, 2026, 5:58 a.m.
Created at: March 1, 2026, 7:37 p.m.