Triple

T19920892
Position Surface form Disambiguated ID Type / Status
Subject Monatsschlössl E478790 entity
Predicate hasView P854 FINISHED
Object Hellbrunn park 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: Hellbrunn park | Statement: [Monatsschlössl, hasView, Hellbrunn park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hellbrunn park
Context triple: [Monatsschlössl, hasView, Hellbrunn park]
  • A. Hellbrunn Palace
    Hellbrunn Palace is an early 17th-century Baroque villa in Salzburg, Austria, famed for its elaborate trick fountains and expansive pleasure gardens.
  • B. Hellbrunn Palace gardens chosen
    Hellbrunn Palace gardens are the early 17th-century Baroque pleasure grounds near Salzburg, Austria, famed for their elaborate trick fountains, grottos, and playful water-powered attractions.
  • C. Theresienstein park
    Theresienstein park is a historic landscaped public park in Hof, Germany, known for its scenic walking paths, gardens, and panoramic views over the city.
  • D. Türkenschanzpark
    Türkenschanzpark is a large, historic public park in Vienna known for its landscaped hills, ponds, and diverse botanical features.
  • E. Hindenburgpark
    Hindenburgpark is a riverside public park in Hamburg’s Othmarschen district, known for its green lawns, old trees, and views over the River Elbe.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659c564788190a3893fc73fc4922b completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.