Triple

T29546959
Position Surface form Disambiguated ID Type / Status
Subject Malaysian law E749655 entity
Predicate criminalLawCodifiedIn P35206 FINISHED
Object Penal Code of Malaysia
The Penal Code of Malaysia is the primary statute that defines criminal offences and prescribes punishments throughout Malaysia’s legal system.
 E1872749 NE FINISHED

How this triple was built (3 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: Penal Code of Malaysia | Statement: [Malaysian law, criminalLawCodifiedIn, Penal Code of Malaysia]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Penal Code of Malaysia
Triple: [Malaysian law, criminalLawCodifiedIn, Penal Code of Malaysia]
Generated description
The Penal Code of Malaysia is the primary statute that defines criminal offences and prescribes punishments throughout Malaysia’s legal system.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: criminalLawCodifiedIn
Context triple: [Malaysian law, criminalLawCodifiedIn, Penal Code of Malaysia]
  • A. haveCriminalLaw
    Indicates that an entity possesses, applies, or is governed by a system or body of criminal law.
  • B. mainCriminalCode chosen
    Indicates that one legal code is the primary or governing criminal code applicable to a given jurisdiction, case, or legal context.
  • C. crimeType
    Indicates the specific category or nature of the crime associated with an event or entity.
  • D. criminalType
    Indicates the specific category or classification of crime associated with a criminal act or offender.
  • E. hasCriminalLawPrinciple
    Indicates that there exists a criminal law doctrine, rule, or principle that applies to, governs, or characterizes the referenced entity or situation.
  • F. None of above.

Provenance (6 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_69f66cf3695c81908817bc14126fea9e completed May 2, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a260c4184648190b21de658660fe246 completed June 8, 2026, 12:26 a.m.
NEDg Description generation batch_6a261065aefc8190b2945fba730d44ba completed June 8, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_6a2614a384988190939b488b13114459 completed June 8, 2026, 1:02 a.m.
PD Predicate disambiguation batch_69f6633ac8a88190ab0cda62bbfcf9b0 completed May 2, 2026, 8:48 p.m.
Created at: April 28, 2026, 5:08 p.m.