Triple

T7059722
Position Surface form Disambiguated ID Type / Status
Subject Köpenick E164184 entity
Predicate locatedOn P40 FINISHED
Object River Dahme E301765 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: River Dahme | Statement: [Köpenick, locatedOn, River Dahme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Dahme
Context triple: [Köpenick, locatedOn, River Dahme]
  • A. River Dahme chosen
    River Dahme is a tributary of the River Spree in eastern Germany, flowing through Brandenburg and Berlin and forming several lakes and waterways used for recreation and transport.
  • B. Vauréal River
    Vauréal River is a river on Anticosti Island in Quebec, Canada, known for its scenic canyon and the impressive Vauréal Falls.
  • C. Deûle River
    The Deûle River is a canalised river in northern France that flows through the city of Lille and serves as an important waterway in the region.
  • D. river Selle
    The river Selle is a small watercourse in northern France that flows through the Hauts-de-France region and several historic towns before joining the Scheldt basin.
  • E. Aure River
    The Aure River is a small waterway in Normandy, northwestern France, that flows through the historic town of Bayeux before joining the Vire River.
  • 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_69c688796c148190adb2f1596f595f22 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e458ad9c81908c3f492b317ce291 completed March 27, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7944809348190bfc96df73f1363b3 completed March 28, 2026, 8:41 a.m.
Created at: March 27, 2026, 2:38 p.m.