Triple

T11753624
Position Surface form Disambiguated ID Type / Status
Subject Westfalenhallen complex E279467 entity
Predicate adjacentTo P224 FINISHED
Object Westfalenpark E635886 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: Westfalenpark | Statement: [Westfalenhallen complex, adjacentTo, Westfalenpark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westfalenpark
Context triple: [Westfalenhallen complex, adjacentTo, Westfalenpark]
  • A. Westfalenpark chosen
    Westfalenpark is a large public park in Dortmund, Germany, known for its extensive green spaces, gardens, and the landmark Florian television tower.
  • B. Doblhoffpark
    Doblhoffpark is a historic public park in Baden bei Wien, Austria, known for its extensive rose gardens, scenic ponds, and tranquil walking paths.
  • C. Nordsternpark
    Nordsternpark is a large public park and former industrial site in Gelsenkirchen, Germany, known for its landscaped grounds, cultural events, and preserved mining heritage.
  • 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. Sommerhofenpark
    Sommerhofenpark is a public green space and recreational park located in the city of Sindelfingen in southwestern Germany.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50b8a14819092a7397d73f0a8e3 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a21559c819097d0287dd8e2f411 completed April 28, 2026, 2:23 a.m.
Created at: April 8, 2026, 9:41 p.m.