Triple

T935159
Position Surface form Disambiguated ID Type / Status
Subject Notarikon E20178 entity
Predicate relatedTo P37 FINISHED
Object Gematria E19175 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: Gematria | Statement: [Notarikon, relatedTo, Gematria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gematria
Context triple: [Notarikon, relatedTo, Gematria]
  • A. Gematria chosen
    Gematria is a traditional Jewish numerological system that assigns numerical values to letters and words to uncover hidden meanings and connections in sacred texts.
  • B. Hebrew alphabet
    The Hebrew alphabet is an ancient consonant-based writing system used primarily for Hebrew and several other Jewish languages, including Judeo-Arabic and Yiddish.
  • C. Atbash
    Atbash is a classical Hebrew substitution cipher that encodes text by reversing the alphabet so that each letter is replaced by its counterpart from the opposite end.
  • D. Sefer Yetzirah
    Sefer Yetzirah is an early foundational work of Jewish mysticism that explores creation through the Hebrew letters and the ten sefirot.
  • E. Aleph
    Aleph is a spiritual and autobiographical novel by Brazilian author Paulo Coelho that explores themes of faith, destiny, and personal transformation through a journey across Russia.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b363ea5c819098ec1d87f785bad4 completed March 1, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7ee141f188190bf7502870d9351ac completed March 4, 2026, 8:32 a.m.
Created at: March 1, 2026, 7:40 p.m.