Triple

T7782136
Position Surface form Disambiguated ID Type / Status
Subject Pontevedra E221545 entity
Predicate contains P35 FINISHED
Object 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.
 E693366 NE FINISHED

How this triple was built (4 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: A Estrada | Statement: [Pontevedra, contains, A Estrada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A Estrada
Context triple: [Pontevedra, contains, A Estrada]
  • A. Estrada
    Estrada is a Filipino surname most prominently associated with Joseph Estrada, a former movie actor who became the 13th President of the Philippines.
  • B. Andrade
    Andrade is a common Portuguese and Spanish surname borne by numerous notable figures across fields such as sports, politics, and the arts.
  • C. Acosta
    Acosta is a rural canton in Costa Rica known for its mountainous landscapes, coffee farming, and location within the San José Province.
  • D. Carril
    Carril is a Spanish-origin surname most notably associated with Hall of Fame basketball coach Pete Carril.
  • E. Cardoso
    Cardoso is a common Portuguese-language surname borne by numerous individuals, including prominent Brazilian political and cultural figures.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: A Estrada
Triple: [Pontevedra, contains, A Estrada]
Generated description
A Estrada is a municipality in the autonomous community of Galicia in northwestern Spain, known for its rural landscapes and traditional Galician culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A Estrada
Target entity description: A Estrada is a municipality in the autonomous community of Galicia in northwestern Spain, known for its rural landscapes and traditional Galician culture.
  • A. Estrada
    Estrada is a Filipino surname most prominently associated with Joseph Estrada, a former movie actor who became the 13th President of the Philippines.
  • B. Andrade
    Andrade is a common Portuguese and Spanish surname borne by numerous notable figures across fields such as sports, politics, and the arts.
  • C. Acosta
    Acosta is a rural canton in Costa Rica known for its mountainous landscapes, coffee farming, and location within the San José Province.
  • D. Carril
    Carril is a Spanish-origin surname most notably associated with Hall of Fame basketball coach Pete Carril.
  • E. Cardoso
    Cardoso is a common Portuguese-language surname borne by numerous individuals, including prominent Brazilian political and cultural figures.
  • F. None of above. chosen

Provenance (5 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cadf1dcc6c8190b3c6ee4ff7808e02 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5d30c748190bbb71534cfdf4f75 completed March 30, 2026, 10:14 p.m.
NEDg Description generation batch_69caf81ebde881909bd131da8987b449 completed March 30, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69cafa013f348190a2067dee4a0c8c40 completed March 30, 2026, 10:32 p.m.
Created at: March 30, 2026, 4:21 p.m.