Triple

T21152238
Position Surface form Disambiguated ID Type / Status
Subject Madrid skyline E521220 entity
Predicate hasViewpoint P854 FINISHED
Object Parque del Oeste 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: Parque del Oeste | Statement: [Madrid skyline, hasViewpoint, Parque del Oeste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parque del Oeste
Context triple: [Madrid skyline, hasViewpoint, Parque del Oeste]
  • A. Parque del Oeste chosen
    Parque del Oeste is a large urban park in Madrid, Spain, known for its landscaped gardens, scenic viewpoints, and cultural landmarks.
  • B. Munsey Park
    Munsey Park is an affluent residential village on Long Island’s North Shore in Nassau County, New York.
  • C. Ackerman Park
    Ackerman Park is a public recreational park in Glen Ellyn, Illinois, featuring sports facilities, open green spaces, and community amenities.
  • D. 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.
  • E. Roscoe Conkling Park
    Roscoe Conkling Park is a major public park in Utica, New York, known for its scenic green spaces, recreational facilities, and views over the Mohawk Valley.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7240275b481908748c0e3f187ed34 completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:58 p.m.