Triple

T16549396
Position Surface form Disambiguated ID Type / Status
Subject Birkenwerder E402028 entity
Predicate hasBorderWith P224 FINISHED
Object Mühlenbecker Land E381325 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: Mühlenbecker Land | Statement: [Birkenwerder, hasBorderWith, Mühlenbecker Land]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mühlenbecker Land
Context triple: [Birkenwerder, hasBorderWith, Mühlenbecker Land]
  • A. Mühlenbecker Land chosen
    Mühlenbecker Land is a municipality in the Oberhavel district of Brandenburg, Germany, known for its proximity to Berlin and its mix of forests, lakes, and residential areas.
  • B. Kannenbäckerland
    Kannenbäckerland is a traditional pottery-producing region in Germany renowned for its stoneware ceramics and long-established clay-working industry.
  • C. Osternienburger Land
    Osternienburger Land is a municipality in the district of Anhalt-Bitterfeld in the German state of Saxony-Anhalt, known for its rural character and agricultural landscape.
  • D. Löwenberger Land
    Löwenberger Land is a rural municipality in the Oberhavel district of Brandenburg, Germany, known for its agricultural landscape and small villages north of Berlin.
  • E. Münsterland
    Münsterland is a rural region in northwestern Germany known for its historic castles, cycling routes, and traditional Westphalian culture.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc323a88190b5c2a34de0a3c7f0 completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00758f97708190a289da0bd5d5c254 completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:15 a.m.