Triple

T1252340
Position Surface form Disambiguated ID Type / Status
Subject Kol Nidre E26904 entity
Predicate doesNotAnnul P5512 FINISHED
Object civil obligations 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: civil obligations | Statement: [Kol Nidre, doesNotAnnul, civil obligations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: doesNotAnnul
Context triple: [Kol Nidre, doesNotAnnul, civil obligations]
  • A. doesNotAbolish chosen
    Indicates that one entity, action, or law does not eliminate, revoke, or put an end to another.
  • B. doesNot
    Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
  • C. doesNotIssue
    Indicates that one entity refrains from or fails to produce, grant, or distribute something (such as a document, order, or resource) to another entity.
  • D. doesNotDetermine
    Indicates that one entity or factor does not uniquely fix, decide, or specify the state, value, or outcome of another.
  • E. doesNotProtect
    Indicates that an entity fails to provide protection or safeguarding to another entity or object.
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf875cf48190b6781d41097ee39b completed March 1, 2026, 10:36 p.m.
PD Predicate disambiguation batch_69a4bb6c977c8190a2bf3e8b67a59beb completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:47 p.m.