Triple

T19592460
Position Surface form Disambiguated ID Type / Status
Subject Großer Stern E470269 entity
Predicate avenueConverges P22217 FINISHED
Object Spreeweg 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: Spreeweg | Statement: [Großer Stern, avenueConverges, Spreeweg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spreeweg
Context triple: [Großer Stern, avenueConverges, Spreeweg]
  • A. Oder-Spree
    Oder-Spree is a rural district in the eastern German state of Brandenburg, known for its lakes, forests, and towns along the Oder and Spree rivers.
  • B. Waier
    Waier is a small island in Australia's Torres Strait, traditionally inhabited by Torres Strait Islander peoples who speak the Meriam Mir language.
  • C. Lusatian Neisse River
    The Lusatian Neisse River is a Central European river that forms part of the border between Germany and Poland before joining the Oder River.
  • D. Müggelspree chosen
    Müggelspree is a section of the River Spree in Berlin and Brandenburg, Germany, known for flowing through the Müggel lakes and surrounding forested recreational areas.
  • E. Peene
    Peene is a small village in the Folkestone and Hythe District of Kent, in southeast England.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64057460c8190962e2e58f06b3985 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:43 p.m.