Triple

T9415066
Position Surface form Disambiguated ID Type / Status
Subject River Spree E226997 entity
Predicate hasTributary P415 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: [River Spree, hasTributary, River Dahme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Dahme
Context triple: [River Spree, hasTributary, 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. river Orge
    The river Orge is a tributary of the Seine in the Île-de-France region of northern France, flowing through several suburban towns south of Paris.
  • C. Vauréal River
    Vauréal River is a river on Anticosti Island in Quebec, Canada, known for its scenic canyon and the impressive Vauréal Falls.
  • D. 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.
  • E. 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.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68c7bd648190b17f082883c98239 completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107baad74819090a746c06feb28ac completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:48 p.m.