Triple

T21585508
Position Surface form Disambiguated ID Type / Status
Subject Kroll Opera E532639 entity
Predicate locatedIn P40 FINISHED
Object Tiergarten, Berlin NE NERFINISHED

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: Tiergarten, Berlin | Statement: [Kroll Opera, locatedIn, Tiergarten, Berlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiergarten, Berlin
Context triple: [Kroll Opera, locatedIn, Tiergarten, Berlin]
  • A. Tiergarten chosen
    Tiergarten is a large central park in Berlin known for its expansive green spaces, monuments, and cultural landmarks.
  • B. Unter den Linden, Berlin
    Unter den Linden, Berlin is a historic and grand boulevard in central Berlin, renowned for its cultural landmarks, government buildings, and role as a ceremonial axis of the city.
  • C. 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.
  • D. Treptower Park, Berlin
    Treptower Park in Berlin is a large riverside public park best known for its monumental Soviet War Memorial commemorating Red Army soldiers who fell in World War II.
  • E. Volkspark Friedrichshain
    Volkspark Friedrichshain is a large historic public park in Berlin known for its wooded hills, walking paths, and recreational facilities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb60032881908dd35ac76392ad07 completed April 27, 2026, 4:51 a.m.
Created at: April 16, 2026, 6:31 p.m.