Triple

T10450743
Position Surface form Disambiguated ID Type / Status
Subject Berliner Bezirk Spandau E246414 entity
Predicate hasPart P35 FINISHED
Object Kladow E379227 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: Kladow | Statement: [Berliner Bezirk Spandau, hasPart, Kladow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kladow
Context triple: [Berliner Bezirk Spandau, hasPart, Kladow]
  • A. Kladow chosen
    Kladow is a village-like district on the southwestern edge of Berlin, known for its lakeside location on the Havel and its green, suburban character.
  • B. Krakolye
    Krakolye is a historic village in northwestern Russia known as one of the traditional settlement areas of the Votic people and their endangered Uralic language.
  • C. Kloben
    Kloben is one of the small islands in the Hirsholmene archipelago off the coast of northern Denmark.
  • D. Sadowie
    Sadowie is a village and the seat of a rural administrative district in south-eastern Poland.
  • E. Zaosie
    Zaosie is a small village in present-day Belarus, best known as the birthplace of the Polish Romantic poet Adam Mickiewicz.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe0a6a548190a54212912f618e4e completed April 7, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87efedf6c8190aa4b7bbe5f160eeb completed April 10, 2026, 4:39 a.m.
Created at: April 6, 2026, 12:17 p.m.