Triple

T3352393
Position Surface form Disambiguated ID Type / Status
Subject Zamfara State E70525 entity
Predicate hasShariaLegalSystem P36291 FINISHED
Object true 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: true | Statement: [Zamfara State, hasShariaLegalSystem, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasShariaLegalSystem
Context triple: [Zamfara State, hasShariaLegalSystem, true]
  • A. religiousJurisdiction
    Indicates that one entity holds official religious authority or governance over another entity or area.
  • B. hasRulingInFiqh
    Indicates that a subject has an associated legal ruling or judgment within the framework of Islamic jurisprudence (fiqh).
  • C. statusInIslamicTradition
    Indicates the recognized standing, role, or level of esteem an entity holds within Islamic religious, cultural, or scholarly tradition.
  • D. roleInIslamicLaw chosen
    Indicates the specific function, status, or authority an entity holds within the framework of Islamic legal principles and institutions.
  • E. coexistingLegalTradition
    Indicates that multiple legal traditions or systems exist and operate simultaneously within the same social or institutional context.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb221a7d8819086cd0f826eca0fe8 completed March 8, 2026, 5:30 p.m.
PD Predicate disambiguation batch_69ada42fbe7c8190b9f185b5ab985f17 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:13 p.m.