Triple

T17016688
Position Surface form Disambiguated ID Type / Status
Subject Estrada E412838 entity
Predicate hasVariant P455 FINISHED
Object d'Estrada E412838 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: d'Estrada | Statement: [Estrada, hasVariant, d'Estrada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: d'Estrada
Context triple: [Estrada, hasVariant, d'Estrada]
  • A. Vargas
    Vargas is a coastal state in northern Venezuela known for its Caribbean shoreline, proximity to Caracas, and role as a key transport and tourism hub.
  • B. Vargas
    Vargas is a barangay (village-level administrative division) of the municipality of Santa Ignacia in the province of Tarlac, Philippines.
  • C. Estrada chosen
    Estrada is a Filipino surname most prominently associated with Joseph Estrada, a former movie actor who became the 13th President of the Philippines.
  • D. Jorge Afonso
    Jorge Afonso was a prominent Portuguese Renaissance painter known for his religious altarpieces and influential role in the royal court’s artistic life.
  • E. Oliveira Salazar
    Oliveira Salazar was the authoritarian Portuguese statesman who ruled as prime minister and architect of the Estado Novo dictatorship from the 1930s to the late 1960s.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47fec248190bf261cac920291b1 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ed0b78481909a11c1529db6c1cd completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:33 a.m.