Triple

T15969063
Position Surface form Disambiguated ID Type / Status
Subject Porta Westfalica E387271 entity
Predicate formedByMergerOf P77 FINISHED
Object Lerbeck
Lerbeck is a former municipality in North Rhine-Westphalia, Germany, that was incorporated into the town of Porta Westfalica.
E1189547 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: Lerbeck | Statement: [Porta Westfalica, formedByMergerOf, Lerbeck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lerbeck
Context triple: [Porta Westfalica, formedByMergerOf, Lerbeck]
  • A. Leuenberg
    Leuenberg is a village in Switzerland known as the site where major European Protestant churches concluded the Leuenberg Agreement on church fellowship.
  • B. Saerbeck
    Saerbeck is a municipality in North Rhine-Westphalia, Germany, known for its pioneering role in renewable energy and climate protection initiatives.
  • C. Lübbecke
    Lübbecke is a small town in North Rhine-Westphalia, Germany, known for its location at the foot of the Wiehen Hills and its traditional brewing industry.
  • D. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • 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: Lerbeck
Triple: [Porta Westfalica, formedByMergerOf, Lerbeck]
Generated description
Lerbeck is a former municipality in North Rhine-Westphalia, Germany, that was incorporated into the town of Porta Westfalica.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lerbeck
Target entity description: Lerbeck is a former municipality in North Rhine-Westphalia, Germany, that was incorporated into the town of Porta Westfalica.
  • A. Leuenberg
    Leuenberg is a village in Switzerland known as the site where major European Protestant churches concluded the Leuenberg Agreement on church fellowship.
  • B. Saerbeck
    Saerbeck is a municipality in North Rhine-Westphalia, Germany, known for its pioneering role in renewable energy and climate protection initiatives.
  • C. Lübbecke
    Lübbecke is a small town in North Rhine-Westphalia, Germany, known for its location at the foot of the Wiehen Hills and its traditional brewing industry.
  • D. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572847f08190830e30125e829766 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf1893388190800f013fab415ae7 completed May 10, 2026, 12:19 a.m.
NEDg Description generation batch_69ffd049952081909221df73d3555557 completed May 10, 2026, 12:24 a.m.
NED2 Entity disambiguation (via description) batch_69ffd10ab484819089cd94ef07cb8de5 completed May 10, 2026, 12:27 a.m.
Created at: April 10, 2026, 4:54 a.m.