Triple

T15586564
Position Surface form Disambiguated ID Type / Status
Subject Friedensengel E374635 entity
Predicate locatedNear P294 FINISHED
Object Maximiliansanlagen park E756331 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: Maximiliansanlagen park | Statement: [Friedensengel, locatedNear, Maximiliansanlagen park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maximiliansanlagen park
Context triple: [Friedensengel, locatedNear, Maximiliansanlagen park]
  • A. Maximiliansanlagen chosen
    Maximiliansanlagen is a large riverside park in Munich, Germany, known for its green spaces along the Isar River and views of the city’s historic architecture.
  • B. 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.
  • C. Karlsaue Park
    Karlsaue Park is a historic baroque landscape park in Kassel, Germany, known for its formal gardens, expansive meadows, and integration of art and architecture.
  • D. Doblhoffpark
    Doblhoffpark is a historic public park in Baden bei Wien, Austria, known for its extensive rose gardens, scenic ponds, and tranquil walking paths.
  • E. Türkenschanzpark
    Türkenschanzpark is a large, historic public park in Vienna known for its landscaped hills, ponds, and diverse botanical features.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4900408190aadb48b001db4169 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c5166d88190ab14c7779e3e8e1f completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:11 a.m.