Triple

T6848233
Position Surface form Disambiguated ID Type / Status
Subject Müggelsee E157949 entity
Predicate partOf P40 FINISHED
Object River Spree basin E226997 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 Spree basin | Statement: [Müggelsee, partOf, River Spree basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Spree basin
Context triple: [Müggelsee, partOf, River Spree basin]
  • A. Rednitz river basin
    The Rednitz river basin is the drainage area in Franconia, Germany, encompassing the Rednitz River and its tributaries, including the Roth.
  • B. Oder (Harz) basin
    The Oder (Harz) basin is a river basin in the Harz Mountains of central Germany that drains the surrounding upland area through the Oder and its tributaries.
  • C. Wupper basin
    The Wupper basin is a river catchment area in North Rhine-Westphalia, Germany, drained by the Wupper River and encompassing several towns and cities in the Bergisches Land region.
  • D. Möll River basin
    The Möll River basin is a mountainous watershed in the Austrian Alps that collects runoff from high alpine ranges such as the Glockner Group before feeding into larger river systems.
  • E. River Spree chosen
    River Spree is a major river flowing through Berlin, Germany, known for shaping the city’s landscape and passing many historic and cultural landmarks.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d7ce3e7481908e0472b8faafa473 completed March 27, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fc931d881908661483836cc059e completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:20 p.m.