Triple

T31752392
Position Surface form Disambiguated ID Type / Status
Subject ORPC 1.1 Competence E810459 entity
Predicate violationMayLeadTo P36372 FINISHED
Object professional discipline 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: professional discipline | Statement: [ORPC 1.1 Competence, violationMayLeadTo, professional discipline]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: violationMayLeadTo
Context triple: [ORPC 1.1 Competence, violationMayLeadTo, professional discipline]
  • A. violationOf
    Indicates that one entity breaches, disobeys, or infringes upon a rule, law, agreement, or right associated with another entity.
  • B. wouldViolate
    Indicates that performing the specified action or condition would break, infringe, or be inconsistent with a given rule, constraint, or obligation.
  • C. violationConsequences chosen
    Indicates the negative outcomes, penalties, or repercussions that result from a violation of a rule, law, or agreement.
  • D. allegedViolationSystem
    Indicates a system is reported or suspected to have violated a rule, policy, or regulation, without the violation being legally or formally established.
  • E. violationContext
    Indicates the specific circumstances, conditions, or situational factors under which a violation occurs or is considered to have occurred.
  • 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_69f348e340d48190b780fae618c51464 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6ab5390208190a05fda888425b9d4 completed May 3, 2026, 1:56 a.m.
PD Predicate disambiguation batch_69f6aa20a1588190a53533fc9764efb2 completed May 3, 2026, 1:51 a.m.
Created at: April 30, 2026, 11:28 p.m.