Triple

T13909808
Position Surface form Disambiguated ID Type / Status
Subject Centro Region of Portugal E334459 entity
Predicate containsCity P294 FINISHED
Object Fátima E105859 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: Fátima | Statement: [Centro Region of Portugal, containsCity, Fátima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fátima
Context triple: [Centro Region of Portugal, containsCity, Fátima]
  • A. Fátima chosen
    Fátima is a town in central Portugal renowned as a major Catholic pilgrimage site associated with reported Marian apparitions in 1917.
  • B. Our Lady of Fátima
    Our Lady of Fátima is the title given to the Virgin Mary in connection with her reported 1917 apparitions to three shepherd children in Fátima, Portugal, which became a major focus of Catholic devotion and pilgrimage.
  • C. Gracia
    Gracia is a feminine given name, commonly used in Spanish and other Romance languages, that derives from and shares the meaning of the name Grace.
  • D. Rafaela
    Rafaela is a major city in central Argentina known for its agricultural industry and role as a regional economic center.
  • E. Belen
    Belen is a small city in central New Mexico known as a regional transportation hub and bedroom community for the Albuquerque metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2721ec6c8190888f4a9d004eb8e0 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c726b7388190b557f4c41622460d completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:16 p.m.