Triple

T1489468
Position Surface form Disambiguated ID Type / Status
Subject Aller E29543 entity
Predicate flowsThrough P225 FINISHED
Object Verden (Aller)
Verden (Aller) is a historic town in Lower Saxony, Germany, known for its medieval cathedral and equestrian traditions.
 E171018 NE FINISHED

How this triple was built (4 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 (Aller) | Statement: [Aller, flowsThrough, Verden (Aller)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Verden (Aller)
Context triple: [Aller, flowsThrough, Verden (Aller)]
  • A. Gerswalde
    Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
  • B. Kellerwald
    Kellerwald is a low mountain forest region in central Germany known for its ancient beech woodlands and protected national park status.
  • C. Heiden
    Heiden is a municipality in the Swiss canton of Appenzell Ausserrhoden, known as the place where Red Cross founder Henry Dunant spent his final years and died.
  • D. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • E. Aller
    The Aller is a significant river in northern Germany that flows through Lower Saxony and serves as a major tributary of the Weser River.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Verden (Aller)
Triple: [Aller, flowsThrough, Verden (Aller)]
Generated description
Verden (Aller) is a historic town in Lower Saxony, Germany, known for its medieval cathedral and equestrian traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Verden (Aller)
Target entity description: Verden (Aller) is a historic town in Lower Saxony, Germany, known for its medieval cathedral and equestrian traditions.
  • A. Gerswalde
    Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
  • B. Kellerwald
    Kellerwald is a low mountain forest region in central Germany known for its ancient beech woodlands and protected national park status.
  • C. Heiden
    Heiden is a municipality in the Swiss canton of Appenzell Ausserrhoden, known as the place where Red Cross founder Henry Dunant spent his final years and died.
  • D. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • E. Aller
    The Aller is a significant river in northern Germany that flows through Lower Saxony and serves as a major tributary of the Weser River.
  • F. None of above. chosen

Provenance (5 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6a6095481909e9d406ac9a41828 completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1ca7804c8190b6818ff344908028 completed March 8, 2026, 6:52 a.m.
NEDg Description generation batch_69ad1cfdd8788190b3c9f6e0d49ec350 completed March 8, 2026, 6:53 a.m.
NED2 Entity disambiguation (via description) batch_69ad1d75f4f8819090c397a4b2d3f839 completed March 8, 2026, 6:55 a.m.
Created at: March 1, 2026, 8:12 p.m.