Triple

T3261240
Position Surface form Disambiguated ID Type / Status
Subject Sokoto State E68412 entity
Predicate dominantLegalSystem P605 FINISHED
Object customary 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: customary law | Statement: [Sokoto State, dominantLegalSystem, customary law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dominantLegalSystem
Context triple: [Sokoto State, dominantLegalSystem, customary law]
  • A. relatedLegalSystem
    Indicates that there is an association or connection between two legal systems, such as influence, similarity, shared origin, or mutual relevance.
  • B. legalSystem chosen
    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. separateLegalSystem
    Indicates that one entity maintains its own distinct and independent legal system from another entity.
  • D. 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.
  • E. legalSystemWorkedIn
    Indicates that a person carried out their professional legal activities within a particular legal system or jurisdiction.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafa7fea08190b089b6174fd7cd32 completed March 8, 2026, 5:19 p.m.
PD Predicate disambiguation batch_69ada41d7eac8190ada4bf5f793d5c49 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:09 p.m.