Triple

T8876974
Position Surface form Disambiguated ID Type / Status
Subject Aller River E211310 entity
Predicate flowsThrough P225 FINISHED
Object Verden district E655756 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: Verden district | Statement: [Aller River, flowsThrough, Verden district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verden district
Context triple: [Aller River, flowsThrough, Verden district]
  • A. Verden district chosen
    Verden district is a rural administrative district in the state of Lower Saxony in northern Germany, known for its horse breeding traditions and location along the Aller and Weser rivers.
  • B. Hallunda district
    Hallunda district is a suburban residential area in Botkyrka Municipality, south of central Stockholm, Sweden.
  • C. Artern district
    Artern district was a former administrative district in the German state of Thuringia that was later incorporated into the Kyffhäuserkreis.
  • D. Lavasanat District
    Lavasanat District is an administrative subdivision in northern Tehran Province, Iran, known for its mountainous terrain, cooler climate, and role as a recreational and residential area near the capital.
  • E. Bäherden District
    Bäherden District is an administrative district in Turkmenistan known for containing the famous Kow-Ata underground lake and its surrounding natural attractions.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61472cc081909e51b4a35a20ef43 completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba149400819096cb93fdda440dcd completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:52 p.m.