Triple

T3251958
Position Surface form Disambiguated ID Type / Status
Subject Av E68202 entity
Predicate follows P134 FINISHED
Object Tammuz E12737 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: Tammuz | Statement: [Av, follows, Tammuz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tammuz
Context triple: [Av, follows, Tammuz]
  • A. Tammuz chosen
    Tammuz is the fourth month of the Hebrew religious calendar, traditionally falling in early summer and associated with historical fasts and mourning in Jewish tradition.
  • B. Tammuz
    Tammuz is a Mesopotamian god associated with shepherds, fertility, and seasonal cycles, whose death and rebirth are central themes in ancient Near Eastern religion and myth.
  • C. Sivan
    Sivan is the third month of the Hebrew calendar, traditionally associated with the festival of Shavuot and the giving of the Torah.
  • D. Tevet
    Tevet is a winter month in the Hebrew calendar, typically falling in December–January and associated with several Jewish fasts and historical commemorations.
  • E. Shuah
    Shuah is a lesser-known son of the biblical patriarch Abraham, mentioned among the children he had with Keturah.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf425394819084ae6304da211c00 completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2776d5e108190a4db748c98fc8316 completed March 12, 2026, 8:21 a.m.
Created at: March 8, 2026, 3:09 p.m.