Triple

T26237463
Position Surface form Disambiguated ID Type / Status
Subject Catholic Church in Azerbaijan E656209 entity
Predicate legalFrameworkCountry P112627 FINISHED
Object Republic of Azerbaijan NE NERFINISHED

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: Republic of Azerbaijan | Statement: [Catholic Church in Azerbaijan, legalFrameworkCountry, Republic of Azerbaijan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalFrameworkCountry
Context triple: [Catholic Church in Azerbaijan, legalFrameworkCountry, Republic of Azerbaijan]
  • A. countryLegalFramework chosen
    Indicates the legal system, regulations, and institutional rules that govern actions and relationships within a given country.
  • B. legalFrameworkStatus
    Indicates the current legal or regulatory standing or condition of a given framework within a specified jurisdiction or context.
  • C. legalSystemRegion
    Indicates the geographic or jurisdictional region within which a particular legal system is applicable or in force.
  • D. legalSystemBasis
    Indicates the foundational legal framework, tradition, or set of principles on which a legal system is based.
  • E. countryJurisdiction
    Indicates that one country has legal authority, control, or governing power over a specified territory, entity, or matter.
  • 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_69ee5b4b8b408190993da38c0067cc8d completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f71422adac8190a5ceb32dcf820833 completed May 3, 2026, 9:23 a.m.
PD Predicate disambiguation batch_69f712764d2c819081b64b27e5de4a13 completed May 3, 2026, 9:16 a.m.
Created at: April 26, 2026, 9:02 p.m.