Triple

T16858714
Position Surface form Disambiguated ID Type / Status
Subject Berlin-Moabit E409853 entity
Predicate adjacentTo P224 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: [Berlin-Moabit, adjacentTo, Berlin-Tiergarten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin-Tiergarten
Context triple: [Berlin-Moabit, adjacentTo, Berlin-Tiergarten]
  • A. 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.
  • B. Tiergarten chosen
    Tiergarten is a large central park in Berlin known for its expansive green spaces, monuments, and cultural landmarks.
  • C. Volkspark Friedrichshain
    Volkspark Friedrichshain is a large historic public park in Berlin known for its wooded hills, walking paths, and recreational facilities.
  • D. Volkspark Wilmersdorf
    Volkspark Wilmersdorf is a large public park in Berlin’s Wilmersdorf district, known for its tree-lined paths, lawns, and recreational facilities.
  • E. 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.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37ef4748190b149d98fc0ab4205 completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb25300c8190a352037c21c244bd completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.