Triple

T15757579
Position Surface form Disambiguated ID Type / Status
Subject Innerste E382006 entity
Predicate flowsThrough P225 FINISHED
Object Derneburg
Derneburg is a village in Lower Saxony, Germany, known for its historic Derneburg Castle and its location along the Innerste River.
 E1177962 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: Derneburg | Statement: [Innerste, flowsThrough, Derneburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Derneburg
Context triple: [Innerste, flowsThrough, Derneburg]
  • A. Lauenburg
    Lauenburg is a historic town in northern Germany situated on the banks of the Elbe River.
  • B. Schwarmstedt
    Schwarmstedt is a municipality in Lower Saxony, Germany, situated in the Heidekreis district along the River Aller.
  • C. Dinaburg
    Dinaburg is the historical name of the Latvian city now known as Daugavpils, an important cultural and economic center in the Latgale region.
  • D. Stettfeld
    Stettfeld is a municipality in the Haßberge district of Bavaria, Germany, known for its rural character and Franconian cultural heritage.
  • E. Teterow
    Teterow is a small historic town in northeastern Germany known for its medieval architecture and location in the Mecklenburg Lake District.
  • 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: Derneburg
Triple: [Innerste, flowsThrough, Derneburg]
Generated description
Derneburg is a village in Lower Saxony, Germany, known for its historic Derneburg Castle and its location along the Innerste River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Derneburg
Target entity description: Derneburg is a village in Lower Saxony, Germany, known for its historic Derneburg Castle and its location along the Innerste River.
  • A. Lauenburg
    Lauenburg is a historic town in northern Germany situated on the banks of the Elbe River.
  • B. Schwarmstedt
    Schwarmstedt is a municipality in Lower Saxony, Germany, situated in the Heidekreis district along the River Aller.
  • C. Dinaburg
    Dinaburg is the historical name of the Latvian city now known as Daugavpils, an important cultural and economic center in the Latgale region.
  • D. Stettfeld
    Stettfeld is a municipality in the Haßberge district of Bavaria, Germany, known for its rural character and Franconian cultural heritage.
  • E. Teterow
    Teterow is a small historic town in northeastern Germany known for its medieval architecture and location in the Mecklenburg Lake District.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b1ff4881909d5240d1d30f5c8b completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998397688190a77b6a7c5b542f7e completed May 9, 2026, 8:30 p.m.
NEDg Description generation batch_69ff9a56d43c8190819deb48d59e16cb completed May 9, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_69ff9acbd2b481908b9d415e26d0db81 completed May 9, 2026, 8:36 p.m.
Created at: April 10, 2026, 4:47 a.m.