Triple

T934551
Position Surface form Disambiguated ID Type / Status
Subject Book of Sirach E20165 entity
Predicate canonicalStatusInJewishTanakh P16327 FINISHED
Object non-canonical LITERAL 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: non-canonical | Statement: [Book of Sirach, canonicalStatusInJewishTanakh, non-canonical]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canonicalStatusInJewishTanakh
Context triple: [Book of Sirach, canonicalStatusInJewishTanakh, non-canonical]
  • A. scripturalStatus chosen
    Indicates the relationship between a text and its recognition or classification as scriptural, canonical, or authoritative within a religious or doctrinal tradition.
  • B. halakhicStatus
    Indicates the formal standing or classification of an entity according to Jewish law (halakha), especially in terms of what is religiously permitted, required, or prohibited.
  • C. positionInTanakh
    Indicates the relative location or ordering of a text or passage within the canonical structure of the Tanakh.
  • D. canonicalStatus
    Indicates the formal or official standing of an entity within an established authoritative or normative system.
  • E. halakhicSource
    Indicates a relationship where one item serves as the halakhic (Jewish legal) basis, authority, or source text for another.
  • F. None of above.

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.
PD Predicate disambiguation batch_69a4b29b245c8190b143f28b77fede3c completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.