Triple

T22195541
Position Surface form Disambiguated ID Type / Status
Subject 8th arrondissement of Marseille E548536 entity
Predicate contains P35 FINISHED
Object Prado seaside park NE NERFINISHED

How this triple was built (3 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: Prado seaside park | Statement: [8th arrondissement of Marseille, contains, Prado seaside park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prado seaside park
Context triple: [8th arrondissement of Marseille, contains, Prado seaside park]
  • A. Prado de San Sebastián
    Prado de San Sebastián is a major transport hub and metro station in Seville, Spain, serving as an important interchange point near the historic city center.
  • B. Parque de Canillejas
    Parque de Canillejas is a public urban park in Madrid’s San Blas-Canillejas district, offering green space and recreational areas for local residents.
  • C. Parque de San Sebastián
    Parque de San Sebastián is a traditional public square and green space in Mérida, Mexico, known for its local community life and proximity to historic landmarks in the city’s colonial center.
  • D. Parque Primo de Rivera
    Parque Primo de Rivera is the former name of Zaragoza’s largest urban park, now known as Parque José Antonio Labordeta, a major green and recreational space in the city.
  • E. Parque Fernando Peñalver
    Parque Fernando Peñalver is a large urban green space in Valencia, Carabobo, Venezuela, known for its recreational areas, walking paths, and cultural events.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Prado seaside park
Target entity description: Prado seaside park is a popular coastal recreational area in Marseille known for its beaches, promenades, and outdoor sports facilities along the Mediterranean Sea.
  • A. Prado de San Sebastián
    Prado de San Sebastián is a major transport hub and metro station in Seville, Spain, serving as an important interchange point near the historic city center.
  • B. Parque de Canillejas
    Parque de Canillejas is a public urban park in Madrid’s San Blas-Canillejas district, offering green space and recreational areas for local residents.
  • C. Parque de San Sebastián
    Parque de San Sebastián is a traditional public square and green space in Mérida, Mexico, known for its local community life and proximity to historic landmarks in the city’s colonial center.
  • D. Parque Primo de Rivera
    Parque Primo de Rivera is the former name of Zaragoza’s largest urban park, now known as Parque José Antonio Labordeta, a major green and recreational space in the city.
  • E. Parque Fernando Peñalver
    Parque Fernando Peñalver is a large urban green space in Valencia, Carabobo, Venezuela, known for its recreational areas, walking paths, and cultural events.
  • F. None of above. chosen

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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae6f7a881908cf1772326f91467 completed April 28, 2026, 9:47 p.m.
Created at: April 16, 2026, 8:35 p.m.