Triple

T3452785
Position Surface form Disambiguated ID Type / Status
Subject Teutonic Order E72830 entity
Predicate headquartersLocation P62 FINISHED
Object Mergentheim
Mergentheim is a historic town in southern Germany best known as the former main seat of the Teutonic Order and for its well-preserved medieval and baroque architecture.
E370048 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: Mergentheim | Statement: [Teutonic Order, headquartersLocation, Mergentheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mergentheim
Context triple: [Teutonic Order, headquartersLocation, Mergentheim]
  • A. Oggersheim
    Oggersheim is a district of Ludwigshafen am Rhein in Germany, best known as the longtime home of former Chancellor Helmut Kohl.
  • B. Emsbach
    Emsbach is a small river in Germany that flows through Hesse before joining the Lahn.
  • C. Miesbach
    Miesbach is a historic town in southern Germany known for its traditional Bavarian culture and picturesque Alpine foothill setting.
  • D. Lommersweiler
    Lommersweiler is a village and municipal section of the town of St. Vith in the German-speaking Community of eastern Belgium.
  • E. Lahnstein
    Lahnstein is a historic town in western Germany, located on the Rhine River in the state of Rhineland-Palatinate.
  • 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: Mergentheim
Triple: [Teutonic Order, headquartersLocation, Mergentheim]
Generated description
Mergentheim is a historic town in southern Germany best known as the former main seat of the Teutonic Order and for its well-preserved medieval and baroque architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mergentheim
Target entity description: Mergentheim is a historic town in southern Germany best known as the former main seat of the Teutonic Order and for its well-preserved medieval and baroque architecture.
  • A. Oggersheim
    Oggersheim is a district of Ludwigshafen am Rhein in Germany, best known as the longtime home of former Chancellor Helmut Kohl.
  • B. Emsbach
    Emsbach is a small river in Germany that flows through Hesse before joining the Lahn.
  • C. Miesbach
    Miesbach is a historic town in southern Germany known for its traditional Bavarian culture and picturesque Alpine foothill setting.
  • D. Lommersweiler
    Lommersweiler is a village and municipal section of the town of St. Vith in the German-speaking Community of eastern Belgium.
  • E. Lahnstein
    Lahnstein is a historic town in western Germany, located on the Rhine River in the state of Rhineland-Palatinate.
  • 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbaa2f5ec81909ced93c01e8fe38b completed March 8, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb767b34819099b6f1cc4cae20a9 completed March 13, 2026, 7:23 a.m.
NEDg Description generation batch_69b3bc6f8a048190950391e3cf83526e completed March 13, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_69b3f85e7a14819097ed09877b040ad9 completed March 13, 2026, 11:43 a.m.
Created at: March 8, 2026, 3:16 p.m.