Triple

T4768060
Position Surface form Disambiguated ID Type / Status
Subject Fátima E105859 entity
Predicate associatedWith P37 FINISHED
Object Francisco Marto E112167 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: Francisco Marto | Statement: [Fátima, associatedWith, Francisco Marto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francisco Marto
Context triple: [Fátima, associatedWith, Francisco Marto]
  • A. Francisco Marto chosen
    Francisco Marto was one of the three Portuguese shepherd children who reported witnessing the Marian apparitions at Fátima in 1917 and was later canonized as a Catholic saint.
  • B. Francisco Ramos da Costa
    Francisco Ramos da Costa was a Portuguese political figure best known as one of the founders of the Socialist Party (Portugal).
  • C. Pedro Tavares
    Pedro Tavares is a person notable enough to be recognized as a bearer of the surname Tavares, though specific widely known achievements or roles are not clearly established from the given information.
  • D. Fernando Ramos
    Fernando Ramos is a Spanish architect known for leading the reconstruction of Ludwig Mies van der Rohe’s iconic Barcelona Pavilion.
  • E. Jorge Moreira
    Jorge Moreira is a Brazilian architect and artist recognized as a distinguished graduate of the Escola Nacional de Belas Artes.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6537eb80819096e0ae906c59d605 completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec33b413081909cc7fcadd6997565 completed March 21, 2026, 4:11 p.m.
Created at: March 20, 2026, 1:21 p.m.