Triple

T17261703
Position Surface form Disambiguated ID Type / Status
Subject Royal Botanical Garden of Madrid E419023 entity
Predicate locatedNear P294 FINISHED
Object Retiro Park NE NERFINISHED

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: Retiro Park | Statement: [Royal Botanical Garden of Madrid, locatedNear, Retiro Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Retiro Park
Context triple: [Royal Botanical Garden of Madrid, locatedNear, Retiro Park]
  • A. Retiro Park chosen
    Retiro Park is a large historic public park in central Madrid, Spain, known for its landscaped gardens, monuments, and boating lake.
  • B. Pershing Park
    Pershing Park is a public urban park in Washington, D.C., known for its commemorative features and central role in honoring American service in World War I.
  • C. Jefferson Park
    Jefferson Park is a Chicago Transit Authority rapid transit station in the city's Northwest Side that serves as a key stop on the Blue Line.
  • D. Jefferson Park
    Jefferson Park is a historic residential neighborhood in Los Angeles known for its early 20th-century architecture and diverse community.
  • E. Jefferson Park
    Jefferson Park is a large public park in Seattle’s Beacon Hill neighborhood, known for its open green spaces, sports facilities, and panoramic views of the city and mountains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e717a348190ae6835fb08f38125 completed April 19, 2026, 1:22 a.m.
Created at: April 10, 2026, 5:39 a.m.