Triple

T21287733
Position Surface form Disambiguated ID Type / Status
Subject Diepholz district E524705 entity
Predicate borderedBy P224 FINISHED
Object Verden district NE NERFINISHED

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: Verden district | Statement: [Diepholz district, borderedBy, Verden district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verden district
Context triple: [Diepholz district, borderedBy, Verden district]
  • A. Verden district chosen
    Verden district is a rural administrative district in the state of Lower Saxony in northern Germany, known for its horse breeding traditions and location along the Aller and Weser rivers.
  • B. Engehalde district
    Engehalde district is an administrative area in the city of Bern, Switzerland, known for encompassing the Engehalde island along the Aare River.
  • C. Leuk District
    Leuk District is an administrative district in the canton of Valais in southwestern Switzerland, encompassing several municipalities including the alpine resort area around Leukerbad.
  • D. Hallunda district
    Hallunda district is a suburban residential area in Botkyrka Municipality, south of central Stockholm, Sweden.
  • E. Ivdel District
    Ivdel District is an administrative district in Sverdlovsk Oblast, Russia, encompassing northern Ural settlements such as Sosva.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d7c57c8190bc4180ea590a62d4 completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.