Triple

T288915
Position Surface form Disambiguated ID Type / Status
Subject Civil Disobedience E5945 entity
Predicate positionOnLaw P9295 FINISHED
Object moral law is higher than civil 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: moral law is higher than civil law | Statement: [Civil Disobedience, positionOnLaw, moral law is higher than civil law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionOnLaw
Context triple: [Civil Disobedience, positionOnLaw, moral law is higher than civil law]
  • A. legalSubject
    Indicates that an entity is the bearer of legal rights, duties, or responsibilities within a legal relationship or context.
  • B. associatedLawProclaimedAt
    Indicates the date, time, or event at which a particular law or legal act was formally proclaimed or officially announced.
  • C. branchOfLaw
    Indicates a relationship where one legal field or discipline is a subdivision or specialized area within a broader body of law.
  • D. legalJurisdiction
    Indicates the legal authority or geographic area whose laws and courts have the power to govern, regulate, or adjudicate matters involving the related entities.
  • E. positionOn
    Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
  • F. None of above. chosen

Provenance (4 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a25e2f5c0081908e548b314f5e986d completed Feb. 28, 2026, 3:17 a.m.
PD Predicate disambiguation batch_69a25b7c1448819082064f474633acd5 completed Feb. 28, 2026, 3:05 a.m.
PDg Predicate description generation batch_69a25d3463648190ac716d7475378536 completed Feb. 28, 2026, 3:12 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.