Triple

T37436665
Position Surface form Disambiguated ID Type / Status
Subject Cristóbal López Romero E930291 entity
Predicate countryOfArchdiocese P144143 FINISHED
Object Morocco E7408 NE 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: Morocco | Statement: [Cristóbal López Romero, countryOfArchdiocese, Morocco]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryOfArchdiocese
Context triple: [Cristóbal López Romero, countryOfArchdiocese, Morocco]
  • A. ecclesiasticalCountry
    Indicates that a country is associated with or governed by a particular ecclesiastical (church) jurisdiction or authority.
  • B. countryOfTitularChurch
    Indicates the country in which a given titular church is geographically located.
  • C. hasArchdiocese
    Indicates that an entity serves as the archdiocese (ecclesiastical jurisdiction) associated with another entity, such as a church, region, or religious organization.
  • D. countryOfBishopric chosen
    Indicates the country in which a given bishopric (episcopal see or diocese) is located or to which it belongs.
  • E. continentOfDiocese
    Indicates that a diocese is located on, or belongs geographically to, a specific continent.
  • F. None of above.

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_69f76ebfdcb8819098562ff3db673b04 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a0361c6d76481909332b28ab01b0ef7 completed May 12, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a408c2a4850819098b005e1a3f63111 completed June 28, 2026, 2:51 a.m.
PD Predicate disambiguation batch_6a0360b3818c819084bbecf705475f4f completed May 12, 2026, 5:17 p.m.
Created at: May 3, 2026, 4:17 p.m.