Triple

T579038
Position Surface form Disambiguated ID Type / Status
Subject Islamic Spain E15017 entity
Predicate coexistingLegalTradition P15722 FINISHED
Object canon 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: canon law | Statement: [Islamic Spain, coexistingLegalTradition, canon law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coexistingLegalTradition
Context triple: [Islamic Spain, coexistingLegalTradition, canon law]
  • A. customaryLaw
    Indicates that a relationship, behavior, or rule is governed by unwritten, traditional norms and practices recognized as binding within a community or group.
  • B. legalTraditionsTaught
    Indicates that one entity teaches, covers, or includes specific legal traditions in its instruction or curriculum.
  • 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. 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.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b6c358081908f458b9e3e208c0d completed March 1, 2026, 8:02 p.m.
PD Predicate disambiguation batch_69a494c692288190b88f30299516b5ba completed March 1, 2026, 7:34 p.m.
PDg Predicate description generation batch_69a4985a2d08819090947895d9439e06 completed March 1, 2026, 7:49 p.m.
Created at: March 1, 2026, 7:33 p.m.