Triple

T6917158
Position Surface form Disambiguated ID Type / Status
Subject Botswana and Zimbabwe E160088 entity
Predicate haveLegalSystemInfluence P24435 FINISHED
Object English common 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: English common law | Statement: [Botswana and Zimbabwe, haveLegalSystemInfluence, English common law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: haveLegalSystemInfluence
Context triple: [Botswana and Zimbabwe, haveLegalSystemInfluence, English common law]
  • A. legalDoctrineInfluenced
    Indicates that one legal doctrine has shaped, informed, or contributed to the development or interpretation of another legal doctrine.
  • B. legalTraditionInfluenced chosen
    Indicates that one legal tradition has had a formative or shaping influence on the development, principles, or practices of another legal tradition.
  • C. relatedLegalSystem
    Indicates that there is an association or connection between two legal systems, such as influence, similarity, shared origin, or mutual relevance.
  • D. hasLegalSystemType
    Indicates that an entity possesses or is governed by a particular type or form of legal system.
  • E. courtInfluence
    Indicates that one party exerts or holds influence over decisions, outcomes, or behavior within a court or judicial setting.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9e034cc81908f1e8f31b055e119 completed March 27, 2026, 7:26 p.m.
PD Predicate disambiguation batch_69c6d7b93d688190a297244ce81b67ac completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:26 p.m.