Triple

T3686008
Position Surface form Disambiguated ID Type / Status
Subject Spandau E78225 entity
Predicate borderedBy P224 FINISHED
Object Havelland district E242434 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: Havelland district | Statement: [Spandau, borderedBy, Havelland district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havelland district
Context triple: [Spandau, borderedBy, Havelland district]
  • A. Havelland chosen
    Havelland is a rural district in western Brandenburg, Germany, known for its river landscapes along the Havel, historic towns, and agricultural character.
  • B. Potsdam-Mittelmark
    Potsdam-Mittelmark is a district in the German state of Brandenburg known for its historic towns, cultural landmarks, and proximity to the city of Potsdam.
  • C. Mariendorf district
    Mariendorf district is a locality in the southern part of Berlin, Germany, known for its residential neighborhoods, historic village core, and the Mariendorf trotting racetrack.
  • D. Weimarer Land district
    Weimarer Land district is a rural administrative district in the German state of Thuringia, surrounding the city of Weimar and known for its cultural landscapes and historical sites.
  • E. Göttingen district
    Göttingen district is an administrative district in southern Lower Saxony, Germany, known for encompassing the university city of Göttingen and surrounding rural areas.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4c676748190b074abfb9ba43b49 completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdeb6c288190a52e81fcbeaeec6d completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:26 p.m.