Triple

T12065056
Position Surface form Disambiguated ID Type / Status
Subject Périgueux E287272 entity
Predicate twinTown P1072 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: [Périgueux, twinTown, Fátima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fátima
Context triple: [Périgueux, twinTown, 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. Rafaela
    Rafaela is a major city in central Argentina known for its agricultural industry and role as a regional economic center.
  • D. Belen
    Belen is a small city in central New Mexico known as a regional transportation hub and bedroom community for the Albuquerque metropolitan area.
  • E. María
    "María" is a 1995 Latin pop hit by Puerto Rican singer Ricky Martin that became one of his signature international breakthrough songs.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90440dd988190ae2b80367aceb6f7 completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f656f4f481909a1ecac3f89da374 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.