Triple

T5724682
Position Surface form Disambiguated ID Type / Status
Subject Hans Müller von Bulgenbach E126234 entity
Predicate placeOfDeath P21 FINISHED
Object Laufenburg
Laufenburg is a historic town on the Rhine River, straddling the border between Switzerland and Germany and known for its medieval architecture and river scenery.
 E540418 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: Laufenburg | Statement: [Hans Müller von Bulgenbach, placeOfDeath, Laufenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laufenburg
Context triple: [Hans Müller von Bulgenbach, placeOfDeath, Laufenburg]
  • A. Lauffeld
    Lauffeld is a village in present-day Belgium best known as the site of the 1747 Battle of Lauffeld during the War of the Austrian Succession.
  • B. Emsbach
    Emsbach is a small river in Germany that flows through Hesse before joining the Lahn.
  • C. Hammelburg
    Hammelburg is a historic town in northern Bavaria, Germany, known as one of the country’s oldest wine-growing communities.
  • D. Dörflingen
    Dörflingen is a small municipality in the canton of Schaffhausen in northern Switzerland, situated near the German border along the Rhine.
  • E. Herrenberg
    Herrenberg is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval center and proximity to the Schönbuch Nature Park.
  • 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: Laufenburg
Triple: [Hans Müller von Bulgenbach, placeOfDeath, Laufenburg]
Generated description
Laufenburg is a historic town on the Rhine River, straddling the border between Switzerland and Germany and known for its medieval architecture and river scenery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laufenburg
Target entity description: Laufenburg is a historic town on the Rhine River, straddling the border between Switzerland and Germany and known for its medieval architecture and river scenery.
  • A. Lauffeld
    Lauffeld is a village in present-day Belgium best known as the site of the 1747 Battle of Lauffeld during the War of the Austrian Succession.
  • B. Emsbach
    Emsbach is a small river in Germany that flows through Hesse before joining the Lahn.
  • C. Hammelburg
    Hammelburg is a historic town in northern Bavaria, Germany, known as one of the country’s oldest wine-growing communities.
  • D. Dörflingen
    Dörflingen is a small municipality in the canton of Schaffhausen in northern Switzerland, situated near the German border along the Rhine.
  • E. Herrenberg
    Herrenberg is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval center and proximity to the Schönbuch Nature Park.
  • 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_69c0082f723881908ce8bb13a0c0f8b7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025085f508190adf5d540bc8a5b1c completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a83c88c819097abe565ba010a29 completed March 22, 2026, 9:09 p.m.
NEDg Description generation batch_69c05b7c3bd48190ad8303bf1bb3ec6a completed March 22, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69c05c22c31081909a9a67d99e7c728c completed March 22, 2026, 9:16 p.m.
Created at: March 22, 2026, 3:47 p.m.