Triple

T26996966
Position Surface form Disambiguated ID Type / Status
Subject Judiciary of Nepal E680001 entity
Predicate typeOfLawSystem P153470 FINISHED
Object civil law influenced system 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: civil law influenced system | Statement: [Judiciary of Nepal, typeOfLawSystem, civil law influenced system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfLawSystem
Context triple: [Judiciary of Nepal, typeOfLawSystem, civil law influenced system]
  • A. countryOfLegalSystem
    Indicates the relationship between a legal system and the country in which that legal system is officially established or applied.
  • 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. partOfLegalSystem
    Indicates that something belongs to, is included within, or functions as a component of a particular legal system.
  • D. legalSystemBasis chosen
    Indicates the foundational legal framework, tradition, or set of principles on which a legal system is based.
  • E. usedLegalSystemOf
    Indicates that one entity applied, followed, or operated under the legal system or body of laws belonging to another entity.
  • 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_69eeeb52908c8190bd246244686aa455 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69fd6dbd1b648190b1a0b391c03aebc5 completed May 8, 2026, 4:59 a.m.
PD Predicate disambiguation batch_69fd6a9020548190bbfa845360ac85fb completed May 8, 2026, 4:46 a.m.
Created at: April 27, 2026, 6:55 a.m.