Triple

T3188372
Position Surface form Disambiguated ID Type / Status
Subject Eritrean Catholic Church E66756 entity
Predicate hasOwnCanonLawParticularNorms P43362 FINISHED
Object yes 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: yes | Statement: [Eritrean Catholic Church, hasOwnCanonLawParticularNorms, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOwnCanonLawParticularNorms
Context triple: [Eritrean Catholic Church, hasOwnCanonLawParticularNorms, yes]
  • A. hasOwnCanonLawParticularLaw chosen
    Indicates that an entity possesses its own specific set of canon or particular laws distinct from general or universal church law.
  • B. usesCodeOfCanons
    Indicates that one entity applies, follows, or is governed by a specified code of canons (a formal set of rules or laws).
  • C. canonLawSubject
    Indicates that an entity is the subject or topic governed, regulated, or addressed by a particular canon law or set of canonical legal norms.
  • D. customaryLaw
    Indicates that a relationship, behavior, or rule is governed by unwritten, traditional norms and practices recognized as binding within a community or group.
  • 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_69ad8587c1bc8190a2595f2c22ee1001 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e491508190bc881feaee3889bc completed March 8, 2026, 4:42 p.m.
PD Predicate disambiguation batch_69ad9e04290481909092ddfbe6fdaabc completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:06 p.m.