Triple

T10106418
Position Surface form Disambiguated ID Type / Status
Subject Götz von Berlichingen E216332 entity
Predicate character P662 FINISHED
Object Weislingen
Weislingen is a key antagonist and political rival in Johann Wolfgang von Goethe’s historical drama "Götz von Berlichingen."
E882321 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: Weislingen | Statement: [Götz von Berlichingen, character, Weislingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weislingen
Context triple: [Götz von Berlichingen, character, Weislingen]
  • A. Treuchtlingen
    Treuchtlingen is a small town in the Bavarian region of Germany, known for its location in the Altmühl Valley and its role as a local railway junction and spa destination.
  • B. Dörflingen
    Dörflingen is a small municipality in the canton of Schaffhausen in northern Switzerland, situated near the German border along the Rhine.
  • C. Deisenhausen
    Deisenhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • D. Stühlingen
    Stühlingen is a small town in the state of Baden-Württemberg in southwestern Germany, near the Swiss border, known for its scenic setting in the Black Forest region.
  • E. Bleidenstadt
    Bleidenstadt is a district of the town of Taunusstein in the Rheingau-Taunus region of Hesse, Germany, known for its historic church and small-town character.
  • 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: Weislingen
Triple: [Götz von Berlichingen, character, Weislingen]
Generated description
Weislingen is a key antagonist and political rival in Johann Wolfgang von Goethe’s historical drama "Götz von Berlichingen."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Weislingen
Target entity description: Weislingen is a key antagonist and political rival in Johann Wolfgang von Goethe’s historical drama "Götz von Berlichingen."
  • A. Treuchtlingen
    Treuchtlingen is a small town in the Bavarian region of Germany, known for its location in the Altmühl Valley and its role as a local railway junction and spa destination.
  • B. Dörflingen
    Dörflingen is a small municipality in the canton of Schaffhausen in northern Switzerland, situated near the German border along the Rhine.
  • C. Deisenhausen
    Deisenhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
  • D. Stühlingen
    Stühlingen is a small town in the state of Baden-Württemberg in southwestern Germany, near the Swiss border, known for its scenic setting in the Black Forest region.
  • E. Bleidenstadt
    Bleidenstadt is a district of the town of Taunusstein in the Rheingau-Taunus region of Hesse, Germany, known for its historic church and small-town character.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd0c8a0408190be886ec1013a5208 completed April 2, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbd93b506c8190bbff63903770355a completed April 12, 2026, 5:41 p.m.
NEDg Description generation batch_69dcad07b51081908fd66ee9ff7341f6 completed April 13, 2026, 8:44 a.m.
NED2 Entity disambiguation (via description) batch_69dd4386e3308190bb8503ce75fa628f completed April 13, 2026, 7:27 p.m.
Created at: March 30, 2026, 9:03 p.m.