Triple

T1489483
Position Surface form Disambiguated ID Type / Status
Subject Aller E29543 entity
Predicate hasFloodplain P14914 FINISHED
Object Aller-Leine Valley
The Aller-Leine Valley is a scenic river landscape in Lower Saxony, Germany, known for its wetlands, nature reserves, and outdoor recreation opportunities.
E204055 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: Aller-Leine Valley | Statement: [Aller, hasFloodplain, Aller-Leine Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aller-Leine Valley
Context triple: [Aller, hasFloodplain, Aller-Leine Valley]
  • A. Lippe
    The Lippe is a river in western Germany that flows through North Rhine-Westphalia and is a right-bank tributary of the Rhine.
  • B. Lippe
    Lippe is a historical region in northwestern Germany that once formed a small principality and later a Free State within the German Reich.
  • C. Ruhr
    The Ruhr is a river in western Germany that flows through the Ruhr industrial region before joining the Rhine.
  • D. Schwalm-Eder region
    The Schwalm-Eder region is a rural district in northern Hesse, Germany, known for its agricultural landscapes, small historic towns, and location south of Kassel.
  • E. Odenwald
    Odenwald is a low mountain range in southwestern Germany known for its forested hills, historic towns, and scenic hiking landscapes.
  • 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: Aller-Leine Valley
Triple: [Aller, hasFloodplain, Aller-Leine Valley]
Generated description
The Aller-Leine Valley is a scenic river landscape in Lower Saxony, Germany, known for its wetlands, nature reserves, and outdoor recreation opportunities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aller-Leine Valley
Target entity description: The Aller-Leine Valley is a scenic river landscape in Lower Saxony, Germany, known for its wetlands, nature reserves, and outdoor recreation opportunities.
  • A. Lippe
    The Lippe is a river in western Germany that flows through North Rhine-Westphalia and is a right-bank tributary of the Rhine.
  • B. Lippe
    Lippe is a historical region in northwestern Germany that once formed a small principality and later a Free State within the German Reich.
  • C. Ruhr
    The Ruhr is a river in western Germany that flows through the Ruhr industrial region before joining the Rhine.
  • D. Schwalm-Eder region
    The Schwalm-Eder region is a rural district in northern Hesse, Germany, known for its agricultural landscapes, small historic towns, and location south of Kassel.
  • E. Odenwald
    Odenwald is a low mountain range in southwestern Germany known for its forested hills, historic towns, and scenic hiking landscapes.
  • 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_69adbf3d408881909688667be4a32931 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc1942da4819081fdcb4cc4b5f9f2 completed March 8, 2026, 6:36 p.m.
NED2 Entity disambiguation (via description) batch_69adc225e1ec8190adbc075f44b82419 completed March 8, 2026, 6:38 p.m.
Created at: March 1, 2026, 8:12 p.m.