Triple

T9310708
Position Surface form Disambiguated ID Type / Status
Subject Rabbinic literature E223998 entity
Predicate hasPart P35 FINISHED
Object Sifra E102801 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: Sifra | Statement: [Rabbinic literature, hasPart, Sifra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sifra
Context triple: [Rabbinic literature, hasPart, Sifra]
  • A. Sifra chosen
    Sifra is a classical rabbinic midrash on the Book of Leviticus that systematically expounds its legal (halakhic) passages.
  • B. Sif
    Sif is a goddess in Norse mythology best known as the golden-haired wife of Thor and a deity associated with earth, fertility, and grain.
  • C. Keila
    Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
  • D. Sorsha
    Sorsha is a warrior princess from the fantasy film "Willow" who initially serves her evil mother Queen Bavmorda before ultimately turning against her.
  • E. Sikma
    Sikma is a surname most notably associated with Jack Sikma, a Hall of Fame American basketball player known for his successful NBA career with the Seattle SuperSonics.
  • 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd20ac17488190aa6acf7a61420632 completed April 1, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c78dfd80819099ab75df01016319 completed April 4, 2026, 8:10 a.m.
Created at: March 30, 2026, 7:37 p.m.