Triple

T2695940
Position Surface form Disambiguated ID Type / Status
Subject Bellevue Palace E58510 entity
Predicate nearby P350 FINISHED
Object Großer Tiergarten E106564 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: Großer Tiergarten | Statement: [Bellevue Palace, nearby, Großer Tiergarten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Großer Tiergarten
Context triple: [Bellevue Palace, nearby, Großer Tiergarten]
  • A. Tiergarten chosen
    Tiergarten is a large central park in Berlin known for its expansive green spaces, monuments, and cultural landmarks.
  • B. Tegeler Forst
    Tegeler Forst is a large forested area in the Berlin district of Tegel, known for its natural landscapes, walking trails, and recreational opportunities.
  • C. Sanssouci Park
    Sanssouci Park is a vast 18th-century landscaped park in Potsdam, Germany, famed for its terraced vineyards, palaces, and ornamental gardens surrounding Frederick the Great’s Sanssouci Palace.
  • D. Babelsberg Park
    Babelsberg Park is a historic landscaped park in Potsdam, Germany, known for its picturesque lakeside setting, neo-Gothic Babelsberg Palace, and 19th-century English-style garden design.
  • E. 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.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda2f7bf88190a1e3103dd014d871 completed March 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb67e21d481908ce4ec01603767bb completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:55 p.m.