Triple

T5551289
Position Surface form Disambiguated ID Type / Status
Subject Lorenzo E145530 entity
Predicate relatedName P3889 FINISHED
Object Lourenço E338945 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: Lourenço | Statement: [Lorenzo, relatedName, Lourenço]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lourenço
Context triple: [Lorenzo, relatedName, Lourenço]
  • A. Lourenço chosen
    Lourenço is a Portuguese-language surname commonly found in Lusophone countries such as Portugal, Brazil, and Angola.
  • B. Alexandre Herculano
    Alexandre Herculano was a 19th-century Portuguese historian, novelist, and politician, regarded as a key figure in the Romantic movement and the development of modern Portuguese historiography.
  • C. Jaime Silvério Marques
    Jaime Silvério Marques was a Portuguese military officer and political figure who served on the National Salvation Junta that led Portugal’s transition after the 1974 Carnation Revolution.
  • D. Vasco Lourenço
    Vasco Lourenço is a Portuguese military officer and political figure best known as one of the key leaders of the Carnation Revolution that ended the Estado Novo dictatorship in Portugal.
  • E. Martim Moniz
    Martim Moniz is a central square and transport hub in Lisbon, Portugal, known for its multicultural atmosphere and as a gateway to the city’s historic districts.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe3e7788190aa5361b083197c17 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c028350bc08190a8b48893157b86a1 completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:35 p.m.