Triple

T5543443
Position Surface form Disambiguated ID Type / Status
Subject Staatsbibliothek zu Berlin E145348 entity
Predicate locatedIn P40 FINISHED
Object Berlin-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: Berlin-Tiergarten | Statement: [Staatsbibliothek zu Berlin, locatedIn, Berlin-Tiergarten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin-Tiergarten
Context triple: [Staatsbibliothek zu Berlin, locatedIn, Berlin-Tiergarten]
  • A. Tiergarten chosen
    Tiergarten is a large central park in Berlin known for its expansive green spaces, monuments, and cultural landmarks.
  • B. Berlin Zoological Garden
    The Berlin Zoological Garden is Germany’s oldest and most visited zoo, renowned for its extensive collection of species and historic location in central Berlin.
  • C. 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.
  • D. Volkspark Prenzlauer Berg
    Volkspark Prenzlauer Berg is a large public park in Berlin known for its landscaped hills, walking paths, and recreational green spaces.
  • E. Mauerpark
    Mauerpark is a popular public park and cultural hotspot in Berlin, known for its lively flea market, street performances, and open-air karaoke.
  • 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_69c008fa64888190adae56c8f9ea4031 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fc947bc81908d1f7b709392ec20 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02822fb80819087474c37d6dc4d2b completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:35 p.m.