Triple

T20601475
Position Surface form Disambiguated ID Type / Status
Subject De Lairessestraat E506190 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Vondelpark 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: Vondelpark | Statement: [De Lairessestraat, hasNearbyAttraction, Vondelpark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vondelpark
Context triple: [De Lairessestraat, hasNearbyAttraction, Vondelpark]
  • A. Vondelpark chosen
    Vondelpark is Amsterdam’s largest and most famous urban park, known for its expansive green spaces, ponds, and cultural events.
  • B. Friedrichspark
    Friedrichspark is a park area in Mannheim, Germany, known historically for hosting the Eisstadion am Friedrichspark ice stadium and serving as a local recreational space.
  • C. Kaiserpark
    Kaiserpark is the landscaped park surrounding the Kaiservilla in Bad Ischl, Austria, known for its historic imperial gardens and scenic grounds.
  • D. Schillerpark
    Schillerpark is a historic public park in Berlin known for its expansive lawns, tree-lined paths, and role as a popular recreational area for local residents.
  • E. Volkspark Prenzlauer Berg
    Volkspark Prenzlauer Berg is a large public park in Berlin known for its landscaped hills, walking paths, and recreational green spaces.
  • 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_69e0b4ba6ae88190af871e1f9522c704 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aa1ffd088190adeacb9fe4907530 completed April 20, 2026, 10:35 p.m.
Created at: April 16, 2026, 11:41 a.m.