Triple

T12579155
Position Surface form Disambiguated ID Type / Status
Subject Dransfeld plateau E300287 entity
Predicate namedAfter P63 FINISHED
Object Dransfeld
Dransfeld is a small town in Lower Saxony, Germany, historically significant enough to lend its name to the surrounding Dransfeld plateau.
E999995 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: Dransfeld | Statement: [Dransfeld plateau, namedAfter, Dransfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dransfeld
Context triple: [Dransfeld plateau, namedAfter, Dransfeld]
  • A. Todenfeld
    Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • B. Neudrossenfeld
    Neudrossenfeld is a municipality in the Kulmbach district of northern Bavaria, Germany, known for its rural character and Franconian cultural heritage.
  • C. Dehnitz
    Dehnitz is a locality within the town of Wurzen in the Free State of Saxony, Germany.
  • D. Neuhof
    Neuhof is a district (Ortsteil) of the town of Taunusstein in the Rheingau-Taunus-Kreis region of Hesse, Germany.
  • E. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • 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: Dransfeld
Triple: [Dransfeld plateau, namedAfter, Dransfeld]
Generated description
Dransfeld is a small town in Lower Saxony, Germany, historically significant enough to lend its name to the surrounding Dransfeld plateau.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dransfeld
Target entity description: Dransfeld is a small town in Lower Saxony, Germany, historically significant enough to lend its name to the surrounding Dransfeld plateau.
  • A. Todenfeld
    Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • B. Neudrossenfeld
    Neudrossenfeld is a municipality in the Kulmbach district of northern Bavaria, Germany, known for its rural character and Franconian cultural heritage.
  • C. Dehnitz
    Dehnitz is a locality within the town of Wurzen in the Free State of Saxony, Germany.
  • D. Neuhof
    Neuhof is a district (Ortsteil) of the town of Taunusstein in the Rheingau-Taunus-Kreis region of Hesse, Germany.
  • E. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954b867dc8190af8a70f797e4d133 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c6ddfdc81908df8baa701ed1fbf completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67de172088190b055ace0fdcfd1fd completed May 2, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69f67ec570a881909c98471b701999f0 completed May 2, 2026, 10:46 p.m.
Created at: April 9, 2026, 5 p.m.