Triple

T15884427
Position Surface form Disambiguated ID Type / Status
Subject Beira Alta E385153 entity
Predicate contains P35 FINISHED
Object Celorico da Beira E789634 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: Celorico da Beira | Statement: [Beira Alta, contains, Celorico da Beira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Celorico da Beira
Context triple: [Beira Alta, contains, Celorico da Beira]
  • A. Celorico da Beira chosen
    Celorico da Beira is a historic municipality in central Portugal, known for its medieval castle and strong tradition of Serra da Estrela cheese production.
  • B. Braz de Aviz
    Braz de Aviz is a Brazilian cardinal of the Roman Catholic Church known for his leadership roles in the Vatican, including as prefect of the Dicastery for Institutes of Consecrated Life and Societies of Apostolic Life.
  • C. Caicó
    Caicó is a municipality in the interior of Rio Grande do Norte, Brazil, known for its strong cultural traditions, especially its famous religious festivals and regional cuisine.
  • D. Celorico de Basto
    Celorico de Basto is a municipality in northern Portugal known for its scenic landscapes, vineyards, and historic heritage within the Minho region.
  • E. Bérrio
    Bérrio was a Portuguese carrack that served as one of the ships in Vasco da Gama’s pioneering fleet on the first voyage from Portugal to India.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561997bc8190a40e7d68defbbddd completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04598e0819094274868941195b9 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.