Triple

T17016687
Position Surface form Disambiguated ID Type / Status
Subject Estrada E412838 entity
Predicate hasVariant P455 FINISHED
Object De 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: De Estrada | Statement: [Estrada, hasVariant, De Estrada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Estrada
Context triple: [Estrada, hasVariant, De Estrada]
  • A. A Estrada
    A Estrada is a municipality in the autonomous community of Galicia in northwestern Spain, known for its rural landscapes and traditional Galician culture.
  • B. 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.
  • C. De Los Reyes
    De Los Reyes is a Spanish-language surname commonly borne by individuals of Hispanic heritage.
  • D. Uncastillo
    Uncastillo is a historic village in the Cinco Villas region of Aragon, Spain, known for its well-preserved medieval architecture and Romanesque churches.
  • E. Santamaría
    Santamaría is a Spanish-language surname borne by various notable figures in Latin American history and culture.
  • 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_6a01233311648190b5f8a8e7c209d124 completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:33 a.m.