Triple

T3838225
Position Surface form Disambiguated ID Type / Status
Subject Winterthur E93387 entity
Predicate hasGarden P105 FINISHED
Object Rosengarten Winterthur E289292 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: Rosengarten Winterthur | Statement: [Winterthur, hasGarden, Rosengarten Winterthur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosengarten Winterthur
Context triple: [Winterthur, hasGarden, Rosengarten Winterthur]
  • A. Burggarten
    Burggarten is a historic public park in central Vienna, Austria, known for its landscaped gardens, statues, and proximity to the former imperial Hofburg Palace.
  • B. Stadthaus Zürich
    Stadthaus Zürich is the historic city hall building in Zurich that serves as the central seat of the city’s political administration and government.
  • C. Winterthur, Switzerland chosen
    Winterthur, Switzerland is a city in the canton of Zurich known for its rich industrial heritage, vibrant cultural scene, and numerous museums and gardens.
  • D. Davos Platz
    Davos Platz is the central district of the Swiss Alpine town of Davos, known for hosting major international events and serving as a key hub for tourism and winter sports.
  • E. Gasteig cultural center
    The Gasteig cultural center is a major arts and education complex in Munich that hosts concerts, theater, film screenings, and houses institutions like the Munich Philharmonic and the city library.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeb9d11f081909fc51e84657ec7f1 completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5040835dc81909ecf5053128f1cc7 completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:18 p.m.