Triple

T14724544
Position Surface form Disambiguated ID Type / Status
Subject Peine E345903 entity
Predicate hasSubdivision P747 FINISHED
Object Röhrse
Röhrse is a village and district (Ortsteil) of the town of Peine in Lower Saxony, Germany.
E1117326 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: Röhrse | Statement: [Peine, hasSubdivision, Röhrse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Röhrse
Context triple: [Peine, hasSubdivision, Röhrse]
  • A. Rößel
    Rößel is the former German name of the historic town now known as Reszel, located in northeastern Poland.
  • B. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • C. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • D. Rödelmaier
    Rödelmaier is a small municipality in the Bavarian district of Rhön-Grabfeld in Germany, known for its rural setting near the Rhön mountains.
  • E. Vohenstrauß
    Vohenstrauß is a small town in the Upper Palatinate region of Bavaria, Germany, known for its historic architecture and surrounding forested 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: Röhrse
Triple: [Peine, hasSubdivision, Röhrse]
Generated description
Röhrse is a village and district (Ortsteil) of the town of Peine in Lower Saxony, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Röhrse
Target entity description: Röhrse is a village and district (Ortsteil) of the town of Peine in Lower Saxony, Germany.
  • A. Rößel
    Rößel is the former German name of the historic town now known as Reszel, located in northeastern Poland.
  • B. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • C. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • D. Rödelmaier
    Rödelmaier is a small municipality in the Bavarian district of Rhön-Grabfeld in Germany, known for its rural setting near the Rhön mountains.
  • E. Vohenstrauß
    Vohenstrauß is a small town in the Upper Palatinate region of Bavaria, Germany, known for its historic architecture and surrounding forested 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec25e9a14819081fa06fc601f295d completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8624bc8190b20441c2f5c4a2fa completed May 8, 2026, 3:04 p.m.
NEDg Description generation batch_69fdfd27c6188190951d50f75a5f5430 completed May 8, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69fdfd98ca8881909ed8d505518e9fe9 completed May 8, 2026, 3:13 p.m.
Created at: April 10, 2026, 1:29 a.m.