Triple

T2732129
Position Surface form Disambiguated ID Type / Status
Subject Judiciary of Nigeria E60337 entity
Predicate legalSystemComponent P25070 FINISHED
Object English common law 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: English common law | Statement: [Judiciary of Nigeria, legalSystemComponent, English common law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalSystemComponent
Context triple: [Judiciary of Nigeria, legalSystemComponent, English common law]
  • A. legalSystemFeature chosen
    Indicates a characteristic, rule, or structural element that forms part of a particular legal system.
  • B. legalSystem
    Indicates the formal framework of laws, rules, and institutions that governs how legal matters are defined, interpreted, and enforced within a society or jurisdiction.
  • C. legalSystemWorkedOn
    Indicates that a legal system has been applied to, influenced, or modified by some agent or process.
  • D. relatedLegalSystem
    Indicates that there is an association or connection between two legal systems, such as influence, similarity, shared origin, or mutual relevance.
  • E. legalDoctrine
    Indicates that one legal principle, rule, or theory is being applied, referenced, or relied upon as an authoritative basis for interpreting or deciding a legal issue.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaf011548190beb9c3feee7b743f completed March 7, 2026, 7:59 a.m.
PD Predicate disambiguation batch_69abd82859348190bce3be8f2e9d60ba completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:56 p.m.