Triple

T15140790
Position Surface form Disambiguated ID Type / Status
Subject Denis of Portugal E361676 entity
Predicate deathPlace P21 FINISHED
Object Santarém E127396 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: Santarém | Statement: [Denis of Portugal, deathPlace, Santarém]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santarém
Context triple: [Denis of Portugal, deathPlace, Santarém]
  • A. Santarém
    Santarém is a Brazilian city in the state of Pará, known for its location at the confluence of the Amazon and Tapajós rivers and its striking “meeting of the waters” phenomenon.
  • B. Santarém chosen
    Santarém is a historic Portuguese city in the Ribatejo region, known for its Gothic architecture and strategic position overlooking the Tagus River.
  • C. Porto São Bento
    Porto São Bento is a historic railway station in Porto, Portugal, renowned for its ornate azulejo tile panels and central role in the city’s commuter and regional rail network.
  • D. Beja
    The Beja are a traditionally pastoralist Cushitic-speaking ethnic group of northeastern Africa, primarily inhabiting the Red Sea coastal and desert regions of Sudan and neighboring countries.
  • E. Porto dos Casais
    Porto dos Casais was the original colonial settlement that later developed into the Brazilian city of Porto Alegre.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c46a248190a2364092d40274f3 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfec3ae48190b2d8e853dab00777 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:07 a.m.