Triple

T2297542
Position Surface form Disambiguated ID Type / Status
Subject Tosefta E51651 entity
Predicate relatedWork P37 FINISHED
Object Sifre E102803 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: Sifre | Statement: [Tosefta, relatedWork, Sifre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sifre
Context triple: [Tosefta, relatedWork, Sifre]
  • A. Sifra
    Sifra is a classical rabbinic midrash on the Book of Leviticus that systematically expounds its legal (halakhic) passages.
  • B. Sifre Zuta chosen
    Sifre Zuta is a lesser-known tannaitic midrashic work that offers halakhic interpretation and commentary on parts of the Hebrew Bible, traditionally associated with the school of Rabbi Akiva.
  • C. Kirfi
    Kirfi is a West Chadic language spoken in parts of northern Nigeria.
  • D. 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.
  • E. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5ddf00081909acb47cbd9a5f20e completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8954a804819092c716582f23af14 completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:49 p.m.