Triple

T15736265
Position Surface form Disambiguated ID Type / Status
Subject Tempelhof E381479 entity
Predicate locatedOn P40 FINISHED
Object Teltow Plateau E632876 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: Teltow Plateau | Statement: [Tempelhof, locatedOn, Teltow Plateau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teltow Plateau
Context triple: [Tempelhof, locatedOn, Teltow Plateau]
  • A. Teltow plateau chosen
    The Teltow plateau is a gently rolling glacial landscape in the Berlin-Brandenburg region of Germany, characterized by sandy soils and agricultural use.
  • B. Barnim Plateau
    The Barnim Plateau is a gently undulating glacial landscape in northeastern Germany, characterized by its morainic hills, forests, and agricultural areas.
  • C. Leipzig lowlands
    The Leipzig lowlands are a broad, fertile plain in central Germany characterized by river valleys, wetlands, and agricultural landscapes surrounding the city of Leipzig.
  • D. Thuringian Basin
    The Thuringian Basin is a fertile lowland region in central Germany known for its agriculture and surrounding ring of forested uplands.
  • E. Magdeburg Börde
    Magdeburg Börde is a fertile loess plain in central Germany known for its highly productive agricultural land, especially for growing sugar beets and cereals.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd586a88190aa1b1b88368d386f completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8300a4248190ba52573b57f31b36 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:46 a.m.