Triple

T3982010
Position Surface form Disambiguated ID Type / Status
Subject Retiro E85778 entity
Predicate knownFor P22 FINISHED
Object El Retiro Park E403331 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: El Retiro Park | Statement: [Retiro, knownFor, El Retiro Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Retiro Park
Context triple: [Retiro, knownFor, El Retiro Park]
  • A. El Retiro Park chosen
    El Retiro Park is a large historic public park in central Madrid, Spain, known for its landscaped gardens, monuments, and iconic boating lake.
  • B. Parque Central
    Parque Central is the main central square of Tegucigalpa, Honduras, serving as a historic and social hub surrounded by important civic and religious buildings.
  • C. Parque Central
    Parque Central is a prominent public square and park in central Havana, Cuba, known as a historic gathering place surrounded by notable colonial and neoclassical buildings.
  • D. Madrid Río park
    Madrid Río park is a large urban green space in Madrid that features recreational areas, cultural facilities, and landscaped promenades along the banks of the Manzanares River.
  • E. Parque Bicentenario
    Parque Bicentenario is a large urban park in Santiago, Chile, known for its landscaped green areas, lagoons, and recreational spaces along the Mapocho River.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9db804c8190ad96656cb7b1a4fe completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5561f0a2881909d758a8fba58309d completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:33 p.m.