Triple

T4921321
Position Surface form Disambiguated ID Type / Status
Subject Poynings' Law E110471 entity
Predicate hasLegalConsequences P6506 FINISHED
Object Irish bills had to be pre-approved in England 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: Irish bills had to be pre-approved in England | Statement: [Poynings' Law, hasLegalConsequences, Irish bills had to be pre-approved in England]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLegalConsequences
Context triple: [Poynings' Law, hasLegalConsequences, Irish bills had to be pre-approved in England]
  • A. violationConsequences
    Indicates the negative outcomes, penalties, or repercussions that result from a violation of a rule, law, or agreement.
  • B. hasLegalEffect chosen
    Indicates that an action, document, or condition produces recognized legal consequences or enforceable rights and obligations.
  • C. hasConsequence
    Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
  • D. hasLegalIssue
    Indicates that an entity is involved in, associated with, or subject to a legal problem, dispute, or proceeding.
  • E. legalConstraint
    Indicates that one entity imposes or is subject to a rule, restriction, or requirement defined by a legal or regulatory framework in relation to another entity or action.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ffabccc81909115ece1b04e2061 completed March 20, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69bd6c3421588190ab08e92b9558042e completed March 20, 2026, 3:48 p.m.
Created at: March 20, 2026, 1:30 p.m.