Triple

T23736471
Position Surface form Disambiguated ID Type / Status
Subject Basic Law of Saudi Arabia E586553 entity
Predicate legalSystemBasis P153470 FINISHED
Object Islamic 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: Islamic law | Statement: [Basic Law of Saudi Arabia, legalSystemBasis, Islamic law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalSystemBasis
Context triple: [Basic Law of Saudi Arabia, legalSystemBasis, Islamic law]
  • A. 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.
  • B. legalSystemDepictedAs
    Indicates that one entity portrays, represents, or characterizes a legal system in a particular way or form.
  • C. 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.
  • D. relatedLegalSystem
    Indicates that there is an association or connection between two legal systems, such as influence, similarity, shared origin, or mutual relevance.
  • E. legalSystemFeature
    Indicates a characteristic, rule, or structural element that forms part of a particular legal system.
  • F. None of above. chosen

Provenance (4 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_69e24907dc9c8190be074c9c96a0ec2d completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1bad28fa481909d7a6a6e98a7b0a5 completed April 29, 2026, 8:01 a.m.
PD Predicate disambiguation batch_69f155f012808190a4b1cbc155558ade completed April 29, 2026, 12:50 a.m.
PDg Predicate description generation batch_69f15adb23d88190ac2632299c26a9b3 completed April 29, 2026, 1:11 a.m.
Created at: April 17, 2026, 7:10 p.m.