Triple

T13414873
Position Surface form Disambiguated ID Type / Status
Subject Grünau E313185 entity
Predicate adjacentTo P224 FINISHED
Object Schmöckwitz E689230 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: Schmöckwitz | Statement: [Grünau, adjacentTo, Schmöckwitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schmöckwitz
Context triple: [Grünau, adjacentTo, Schmöckwitz]
  • A. Schmöckwitz chosen
    Schmöckwitz is a locality in the southeastern outskirts of Berlin, known for its lakeside setting and forested surroundings within the borough of Treptow-Köpenick.
  • B. Schmargendorf
    Schmargendorf is a residential locality in southwestern Berlin known for its quiet streets, historic buildings, and proximity to the Grunewald forest.
  • C. Hademstorf
    Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
  • D. Züssow
    Züssow is a small railway junction village in northeastern Germany that serves as a key transfer point between regional trains and the Usedomer Bäderbahn line to the Baltic Sea island of Usedom.
  • E. Teuschnitz
    Teuschnitz is a small town in northern Bavaria, Germany, known for its rural setting within the Franconian Forest region.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb6e904819098cc9153fd2feaf5 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea598fd888190b53ab937bad1d824 completed May 9, 2026, 3:10 a.m.
Created at: April 9, 2026, 9:39 p.m.