Triple

T706025
Position Surface form Disambiguated ID Type / Status
Subject Joachim von Ribbentrop E14100 entity
Predicate placeOfBirth P1 FINISHED
Object Wesel
Wesel is a historic city in western Germany, located on the Rhine River in the state of North Rhine-Westphalia.
 E89464 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: Wesel | Statement: [Joachim von Ribbentrop, placeOfBirth, Wesel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wesel
Context triple: [Joachim von Ribbentrop, placeOfBirth, Wesel]
  • A. Duisburg
    Duisburg is a major industrial and port city in western Germany’s Ruhr region, known for its steel production and one of the world’s largest inland harbors.
  • B. Ruhr
    The Ruhr is a river in western Germany that flows through the Ruhr industrial region before joining the Rhine.
  • C. Münster
    Münster is a historic city in western Germany known as one of the principal sites where the Peace of Westphalia treaties were negotiated and signed, ending the Thirty Years' War in 1648.
  • D. Borsigwalde
    Borsigwalde is a residential locality in the Berlin borough of Reinickendorf, known for its industrial heritage linked to the Borsig engineering works.
  • E. Osnabrück
    Osnabrück is a historic city in Lower Saxony, Germany, known for its medieval architecture and role in the Peace of Westphalia.
  • 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: Wesel
Triple: [Joachim von Ribbentrop, placeOfBirth, Wesel]
Generated description
Wesel is a historic city in western Germany, located on the Rhine River in the state of North Rhine-Westphalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wesel
Target entity description: Wesel is a historic city in western Germany, located on the Rhine River in the state of North Rhine-Westphalia.
  • A. Duisburg
    Duisburg is a major industrial and port city in western Germany’s Ruhr region, known for its steel production and one of the world’s largest inland harbors.
  • B. Ruhr
    The Ruhr is a river in western Germany that flows through the Ruhr industrial region before joining the Rhine.
  • C. Münster
    Münster is a historic city in western Germany known as one of the principal sites where the Peace of Westphalia treaties were negotiated and signed, ending the Thirty Years' War in 1648.
  • D. Borsigwalde
    Borsigwalde is a residential locality in the Berlin borough of Reinickendorf, known for its industrial heritage linked to the Borsig engineering works.
  • E. Osnabrück
    Osnabrück is a historic city in Lower Saxony, Germany, known for its medieval architecture and role in the Peace of Westphalia.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a54607f08190b3ee4805f2ea4b2f completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654dcbb688190ab997a3d31ec729a completed March 3, 2026, 3:26 a.m.
NEDg Description generation batch_69a65b3535b48190be1986aed3dfe48a completed March 3, 2026, 3:53 a.m.
NED2 Entity disambiguation (via description) batch_69a65ba4d610819095bf3d166c038c8f completed March 3, 2026, 3:55 a.m.
Created at: March 1, 2026, 7:36 p.m.