Triple

T8962277
Position Surface form Disambiguated ID Type / Status
Subject Landkreis Sigmaringen E214035 entity
Predicate locatedOn P40 FINISHED
Object upper Danube E347450 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: upper Danube | Statement: [Landkreis Sigmaringen, locatedOn, upper Danube]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: upper Danube
Context triple: [Landkreis Sigmaringen, locatedOn, upper Danube]
  • A. Alte Donau
    Alte Donau is a former branch of the Danube River in Vienna that now serves as a popular recreational lake for swimming, boating, and waterside leisure.
  • B. Upper Danube catchment chosen
    The Upper Danube catchment is the upstream drainage basin of the Danube River, encompassing the river’s headwaters and tributaries in central Europe before it flows eastward toward the Middle Danube.
  • C. Mayo-Sava
    Mayo-Sava is an administrative department in Cameroon's Far North Region, known for its diverse ethnic communities and proximity to the Nigerian border.
  • D. Traisen
    Traisen is a river in northeastern Austria that flows through Lower Austria before joining the Danube.
  • E. Salzach River
    The Salzach River is a major river in Austria and Germany that flows through the city of Salzburg and forms part of the border between the two countries.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6749e5008190a01f42a2e772dd54 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc94e088881909506b229d1fff44a completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:01 p.m.