Triple

T11147114
Position Surface form Disambiguated ID Type / Status
Subject Tamid E263695 entity
Predicate religiousLawArea P72195 FINISHED
Object Temple sacrifices 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: Temple sacrifices | Statement: [Tamid, religiousLawArea, Temple sacrifices]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousLawArea
Context triple: [Tamid, religiousLawArea, Temple sacrifices]
  • A. religiousJurisdiction
    Indicates that one entity holds official religious authority or governance over another entity or area.
  • B. halachicSection chosen
    Indicates a relationship where a subject is classified under, or associated with, a specific section or subdivision within halachic (Jewish legal) texts or rulings.
  • C. religiousRestriction
    Indicates that one entity imposes, experiences, or is subject to limitations or rules based on religious beliefs or practices in relation to another entity or context.
  • D. religiousCanon
    Indicates that something is formally recognized as part of an established body of authoritative religious texts or doctrine.
  • E. scripturalLawCode
    Indicates that one entity is a law code or set of legal prescriptions as defined or authorized by a particular scriptural or religious text for another entity.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e86e9ef48190b4df4b14319a954f completed April 9, 2026, 5:57 p.m.
PD Predicate disambiguation batch_69d75ce104908190b6cc31ef2f67846a completed April 9, 2026, 8:01 a.m.
Created at: April 8, 2026, 9:28 p.m.