Triple

T5365424
Position Surface form Disambiguated ID Type / Status
Subject Bremen-Verden E103116 entity
Predicate hadImportantRiver P165 FINISHED
Object Elbe E16410 NE FINISHED

How this triple was built (3 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: Elbe | Statement: [Bremen-Verden, hadImportantRiver, Elbe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elbe
Context triple: [Bremen-Verden, hadImportantRiver, Elbe]
  • A. Elbe chosen
    The Elbe is one of Central Europe's major rivers, flowing from the Czech Republic through Germany to the North Sea and serving as an important waterway for transport, industry, and agriculture.
  • B. Saale
    The Saale is a major river in central Germany that flows through the states of Thuringia, Saxony-Anhalt, and Bavaria before joining the Elbe.
  • C. Weser
    The Weser is a major river in northwestern Germany that flows through several federal states before emptying into the North Sea.
  • D. Rhine
    The Rhine is one of Europe's most important rivers, historically serving as a vital trade route and cultural boundary from the Alps through Germany to the North Sea.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadImportantRiver
Context triple: [Bremen-Verden, hadImportantRiver, Elbe]
  • A. hasRiver chosen
    Indicates that a location or area contains, is traversed by, or is directly associated with a river.
  • B. hasMajorRiverSystem
    Indicates that an entity possesses or is traversed by a primary, large-scale river network that significantly characterizes its hydrology or geography.
  • C. hasMajorCityOnRiver
    Indicates that a major city is located on and directly associated with a particular river.
  • D. hasCityOnRiver
    Indicates that a city is located on or along the course of a particular river.
  • E. hasMajorTownOnRiver
    Indicates that a major town is located on and directly associated with a particular river.
  • F. None of above.

Provenance (4 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd865eb23481908d32fae4efd86efa completed March 20, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf8335f5a48190973622011df4c108 completed March 22, 2026, 5:50 a.m.
PD Predicate disambiguation batch_69bd845f41f88190b75b8b64b9e41862 completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:02 p.m.