Triple

T1532215
Position Surface form Disambiguated ID Type / Status
Subject Museumplein E32467 entity
Predicate nearLandmark P3449 FINISHED
Object Vondelpark E4258 NE FINISHED

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: [Museumplein, nearLandmark, Vondelpark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vondelpark
Context triple: [Museumplein, nearLandmark, 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. Tiergarten
    Tiergarten is a large central park in Berlin known for its expansive green spaces, monuments, and cultural landmarks.
  • C. Englischer Garten
    Englischer Garten is a large public park in Munich, Germany, renowned for its expansive green spaces, beer gardens, and riverside surfing on the Eisbach.
  • D. Tempelhofer Feld
    Tempelhofer Feld is a vast public park and former airport in Berlin, Germany, known for its open runways, recreational spaces, and historical significance, including its role in the Berlin Airlift.
  • E. Babelsberg Park
    Babelsberg Park is a historic landscaped park in Potsdam, Germany, known for its picturesque lakeside setting, neo-Gothic Babelsberg Palace, and 19th-century English-style garden design.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90816b5e88190aa92a8558e35744b completed March 5, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad295a03d881909071fb437c2d19ba completed March 8, 2026, 7:46 a.m.
Created at: March 4, 2026, 7:26 p.m.