Triple

T1415450
Position Surface form Disambiguated ID Type / Status
Subject De Pijp E31903 entity
Predicate hasPark P105 FINISHED
Object Sarphatipark
Sarphatipark is a popular 19th-century urban park in Amsterdam known for its green lawns, ponds, and relaxed neighborhood atmosphere.
E162900 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: Sarphatipark | Statement: [De Pijp, hasPark, Sarphatipark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarphatipark
Context triple: [De Pijp, hasPark, Sarphatipark]
  • A. Vondelpark
    Vondelpark is Amsterdam’s largest and most famous urban park, known for its expansive green spaces, ponds, and cultural events.
  • B. Brussels Park
    Brussels Park is a historic public garden in central Brussels, Belgium, known for its formal layout, statues, and role as a major green space between key royal and governmental buildings.
  • C. Turnure Park
    Turnure Park is a public neighborhood park in White Plains, New York, offering green space, playgrounds, and recreational areas for local residents.
  • D. Hyde Park
    Hyde Park is a historic central public park in Sydney, Australia, known for its tree-lined avenues, monuments, and recreational green space.
  • E. Hyde Park
    "Hyde Park" is a Caroline-era comedy play by James Shirley, known for its witty depiction of London society and romantic intrigues set around the famous London park.
  • 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: Sarphatipark
Triple: [De Pijp, hasPark, Sarphatipark]
Generated description
Sarphatipark is a popular 19th-century urban park in Amsterdam known for its green lawns, ponds, and relaxed neighborhood atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sarphatipark
Target entity description: Sarphatipark is a popular 19th-century urban park in Amsterdam known for its green lawns, ponds, and relaxed neighborhood atmosphere.
  • A. Vondelpark
    Vondelpark is Amsterdam’s largest and most famous urban park, known for its expansive green spaces, ponds, and cultural events.
  • B. Brussels Park
    Brussels Park is a historic public garden in central Brussels, Belgium, known for its formal layout, statues, and role as a major green space between key royal and governmental buildings.
  • C. Turnure Park
    Turnure Park is a public neighborhood park in White Plains, New York, offering green space, playgrounds, and recreational areas for local residents.
  • D. Hyde Park
    Hyde Park is a historic and upscale residential and shopping district located just southwest of downtown Tampa, Florida.
  • E. Hyde Park
    Hyde Park is a historic neighborhood on Chicago’s South Side known for its cultural diversity, lakefront parks, and institutions like the University of Chicago and the Museum of Science and Industry.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c402b1648190b87802d9beb2712e completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5812abc819091894509e9d6bd77 completed March 8, 2026, 2:57 a.m.
NEDg Description generation batch_69ace95beb64819081f6f169c86105fd completed March 8, 2026, 3:13 a.m.
NED2 Entity disambiguation (via description) batch_69ace9bd8fcc8190b25515f2ba1284c0 completed March 8, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:59 p.m.