Triple

T8080224
Position Surface form Disambiguated ID Type / Status
Subject Judiciary of South Africa E188594 entity
Predicate legalTraditions P17298 FINISHED
Object Roman-Dutch 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: Roman-Dutch law | Statement: [Judiciary of South Africa, legalTraditions, Roman-Dutch law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalTraditions
Context triple: [Judiciary of South Africa, legalTraditions, Roman-Dutch law]
  • A. legalTraditionsTaught
    Indicates that one entity teaches, covers, or includes specific legal traditions in its instruction or curriculum.
  • B. hasLawTradition chosen
    Indicates that one legal system, jurisdiction, or entity follows or is based on a particular legal tradition or family of law.
  • C. coexistingLegalTradition
    Indicates that multiple legal traditions or systems exist and operate simultaneously within the same social or institutional context.
  • D. legalTraditionInfluenced
    Indicates that one legal tradition has had a formative or shaping influence on the development, principles, or practices of another legal tradition.
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb40a504d48190ace96e814d99b182 completed March 31, 2026, 3:33 a.m.
PD Predicate disambiguation batch_69cb049f1614819087360d1a4c6f0faa completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:28 p.m.