Triple

T10139152
Position Surface form Disambiguated ID Type / Status
Subject Sifre Bamidbar E226935 entity
Predicate partOf P40 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: [Sifre Bamidbar, partOf, Sifre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sifre
Context triple: [Sifre Bamidbar, partOf, 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. Sifung
    Sifung is a traditional bamboo flute central to the folk music and cultural expression of the Bodo people of Northeast India.
  • E. Sifayuan
    Sifayuan is the Mandarin name for Taiwan’s Judicial Yuan, the constitutional body responsible for overseeing the judiciary and interpreting the constitution.
  • 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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cde8851844819092330e74561b7e34 completed April 2, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5f8cf7481908d0caca5a245cb64 completed April 5, 2026, 10:45 p.m.
Created at: March 30, 2026, 9:06 p.m.