Triple

T12191349
Position Surface form Disambiguated ID Type / Status
Subject Victory Column E290469 entity
Predicate locatedIn P40 FINISHED
Object Großer Tiergarten park 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 park | Statement: [Victory Column, locatedIn, Großer Tiergarten park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Großer Tiergarten park
Context triple: [Victory Column, locatedIn, Großer Tiergarten park]
  • A. Kleiner Tiergarten park
    Kleiner Tiergarten park is a small urban green space in Berlin known for its tree-lined paths, lawns, and recreational areas within the Moabit district.
  • B. Tiergarten park
    Tiergarten park is a historic public park in the German town of Kleve, known for its landscaped grounds, walking paths, and recreational green spaces.
  • C. Volkspark Friedrichshain
    Volkspark Friedrichshain is a large historic public park in Berlin known for its wooded hills, walking paths, and recreational facilities.
  • D. Schlosspark Charlottenburg
    Schlosspark Charlottenburg is a historic baroque and landscaped palace garden in Berlin, surrounding Charlottenburg Palace and featuring ornamental lakes, sculptures, and tree-lined promenades.
  • E. Tiergarten chosen
    Tiergarten is a large central park in Berlin known for its expansive green spaces, monuments, and cultural landmarks.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c5340248190b79379423f3a3ca1 completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6345c27508190bd2e9d466ebce73c completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:50 p.m.