Triple

T10166153
Position Surface form Disambiguated ID Type / Status
Subject Terumah E235208 entity
Predicate consumptionRestrictedTo P28993 FINISHED
Object priests and their households 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: priests and their households | Statement: [Terumah, consumptionRestrictedTo, priests and their households]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: consumptionRestrictedTo
Context triple: [Terumah, consumptionRestrictedTo, priests and their households]
  • A. productionRestrictedTo
    Indicates that the production or manufacture of something is limited or confined to a specified location, entity, or set of conditions.
  • B. mayHaveRestriction
    Indicates that an entity can be subject to one or more limitations, conditions, or constraints, though such restrictions are not necessarily present.
  • C. restrictedFromUseFor
    Indicates that something is prohibited or limited from being used for a specified purpose, context, or application.
  • D. consumptionMethod
    Indicates the manner or process by which something is consumed, used up, or ingested.
  • E. demographicRestriction chosen
    Indicates that participation, access, or applicability is limited or conditioned based on specific demographic characteristics (such as age, gender, ethnicity, or similar attributes).
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec6cf27481909f38839452ac0e37 completed April 2, 2026, 4:11 a.m.
PD Predicate disambiguation batch_69cd4ba9956c8190a3e15d091e33149d completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 9:10 p.m.