Triple

T1453333
Position Surface form Disambiguated ID Type / Status
Subject Glienicke Bridge E31341 entity
Predicate near P350 FINISHED
Object Babelsberg Park E73284 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: Babelsberg Park | Statement: [Glienicke Bridge, near, Babelsberg Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babelsberg Park
Context triple: [Glienicke Bridge, near, Babelsberg Park]
  • A. Babelsberg Park chosen
    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.
  • 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. Kronenburgerpark
    Kronenburgerpark is a historic public park in the Dutch city of Nijmegen, known for its medieval city wall, tower, and scenic green spaces.
  • D. Tiergarten
    Tiergarten is a large central park in Berlin known for its expansive green spaces, monuments, and cultural landmarks.
  • E. 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.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c57e82d48190a30a4512f39f5de0 completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e71ffd481909dfd0f77201dc17c completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 8 p.m.