Triple

T29546987
Position Surface form Disambiguated ID Type / Status
Subject Malaysian law E749655 entity
Predicate legalProfessionRegulatedBy P129586 FINISHED
Object Legal Profession Act 1976 NE NERFINISHED

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: Legal Profession Act 1976 | Statement: [Malaysian law, legalProfessionRegulatedBy, Legal Profession Act 1976]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalProfessionRegulatedBy
Context triple: [Malaysian law, legalProfessionRegulatedBy, Legal Profession Act 1976]
  • A. legalProfessionTypeRegulated chosen
    Indicates that the specified type of legal profession is subject to formal regulation or oversight by an authority.
  • B. legalProfessionType
    Indicates the specific category or type of legal profession associated with an entity (such as lawyer, judge, or notary).
  • C. legalProfessionIncludes
    Indicates that a legal profession or role encompasses, involves, or includes another specified legal function, specialization, or activity.
  • D. legalProfessionRole
    Indicates that one entity holds or performs a specific professional role within the legal domain in relation to another entity or context.
  • E. hasRegulatedProfession
    Indicates that an entity practices or is associated with a profession that is formally regulated by laws, standards, or licensing authorities.
  • 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_69f0bd48691081908cecad39bac591e0 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69fd8ccbd4c88190b13aae0673b3c821 completed May 8, 2026, 7:12 a.m.
PD Predicate disambiguation batch_69fd8ae2227c819089546f5c3629799e completed May 8, 2026, 7:04 a.m.
Created at: April 28, 2026, 5:08 p.m.