Triple

T14754943
Position Surface form Disambiguated ID Type / Status
Subject 1. Bezirk E346706 entity
Predicate hasLandmark P105 FINISHED
Object Volksgarten E474205 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: Volksgarten | Statement: [1. Bezirk, hasLandmark, Volksgarten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volksgarten
Context triple: [1. Bezirk, hasLandmark, Volksgarten]
  • A. Volksgarten chosen
    Volksgarten is a historic public park in central Vienna renowned for its formal rose gardens, neoclassical monuments, and location along the Ringstrasse.
  • B. Hofgarten
    The Hofgarten is a historic Renaissance-style court garden in central Munich, known for its arcades, pavilions, and role as a popular public park and cultural venue.
  • C. Lainzer Tiergarten
    Lainzer Tiergarten is a historic wildlife preserve and former imperial hunting ground on the western edge of Vienna, known for its extensive forests, hiking trails, and free-roaming wild boar and deer.
  • D. Georgengarten
    Georgengarten is a large English-style landscape park in Hanover, Germany, known for its expansive lawns, tree-lined avenues, and integration into the historic Herrenhausen Gardens ensemble.
  • E. Unterer Schlossgarten
    Unterer Schlossgarten is a central urban park in Stuttgart, Germany, known for its green spaces, ponds, and recreational areas near the city center.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d59df08190a86da5048358bd6e completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24afff788190ab4925ead7ce90d2 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:30 a.m.