Triple

T14199861
Position Surface form Disambiguated ID Type / Status
Subject Mafra, Santa Catarina, Brazil E351934 entity
Predicate namedAfter P63 FINISHED
Object Mafra, Portugal E462967 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: Mafra, Portugal | Statement: [Mafra, Santa Catarina, Brazil, namedAfter, Mafra, Portugal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mafra, Portugal
Context triple: [Mafra, Santa Catarina, Brazil, namedAfter, Mafra, Portugal]
  • A. Queluz, Portugal
    Queluz, Portugal is a historic town near Lisbon best known for its 18th-century royal palace, a former residence of the Portuguese royal family.
  • B. Fátima, Portugal
    Fátima, Portugal is a major Catholic pilgrimage town renowned for the 1917 Marian apparitions reported by three shepherd children.
  • C. Mangualde, Portugal
    Mangualde, Portugal is a small industrial city in the Viseu District known for its long-standing automobile manufacturing plant and role in Portugal’s automotive sector.
  • D. Mafra chosen
    Mafra is a Portuguese town best known for its monumental baroque National Palace and basilica, extensively built using local lioz limestone.
  • E. Setúbal, Portugal
    Setúbal, Portugal is a coastal city and municipality south of Lisbon known for its fishing industry, natural harbor, and as the hometown of football manager José Mourinho.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f472548190a1a7edc40526eac3 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194f13688190af7ef5ceb92a73ff completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.