Triple

T27640031
Position Surface form Disambiguated ID Type / Status
Subject E-meter E696563 entity
Predicate hasLegalDisclaimer P70991 FINISHED
Object for religious use only 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: for religious use only | Statement: [E-meter, hasLegalDisclaimer, for religious use only]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLegalDisclaimer
Context triple: [E-meter, hasLegalDisclaimer, for religious use only]
  • A. hasLiabilityDisclaimer chosen
    Indicates that an entity includes or is associated with a statement limiting or excluding legal responsibility for certain actions, outcomes, or information.
  • B. hasWarrantyDisclaimer
    Indicates that a product, service, or agreement includes a statement limiting or denying warranties or liability.
  • C. hasComplianceStatement
    Indicates that an entity is associated with a formal declaration that it adheres to specified rules, standards, or regulatory requirements.
  • D. hasLegalResponse
    Indicates that an entity has an associated legal reply, action, or measure taken in response to a legal situation, claim, or requirement.
  • E. legalIn
    Indicates that an action, status, or entity is permitted or valid under the laws or regulations of a specified jurisdiction.
  • 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_69ef5909f3848190805f35b76833e722 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f707f7959881908f037f0d6b1d0c36 completed May 3, 2026, 8:31 a.m.
PD Predicate disambiguation batch_69f700fc274c8190a128593dc7c7abd0 completed May 3, 2026, 8:02 a.m.
Created at: April 27, 2026, 2:26 p.m.