Triple

T16038555
Position Surface form Disambiguated ID Type / Status
Subject Bertha of Savoy E389029 entity
Predicate spouseMarriagePlace P71883 FINISHED
Object Trebur
Trebur is a historic municipality in the German state of Hesse, known for its medieval significance within the Holy Roman Empire.
E1241729 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: Trebur | Statement: [Bertha of Savoy, spouseMarriagePlace, Trebur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trebur
Context triple: [Bertha of Savoy, spouseMarriagePlace, Trebur]
  • A. Montabaur
    Montabaur is a historic town in western Germany’s Rhineland-Palatinate region, known for its distinctive hilltop castle and well-preserved old town.
  • B. Benrath
    Benrath is a German surname most notably associated with the late actor Martin Benrath.
  • C. Harzheim
    Harzheim is a village in the town of Mechernich in North Rhine-Westphalia, Germany.
  • D. Burbach
    Burbach is a district of the city of Saarbrücken in the German federal state of Saarland.
  • E. Bergheim
    Bergheim is a town in western Germany situated along the Erft River, known for its historical center and proximity to the Cologne region.
  • 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: Trebur
Triple: [Bertha of Savoy, spouseMarriagePlace, Trebur]
Generated description
Trebur is a historic municipality in the German state of Hesse, known for its medieval significance within the Holy Roman Empire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Trebur
Target entity description: Trebur is a historic municipality in the German state of Hesse, known for its medieval significance within the Holy Roman Empire.
  • A. Montabaur
    Montabaur is a historic town in western Germany’s Rhineland-Palatinate region, known for its distinctive hilltop castle and well-preserved old town.
  • B. Benrath
    Benrath is a German surname most notably associated with the late actor Martin Benrath.
  • C. Harzheim
    Harzheim is a village in the town of Mechernich in North Rhine-Westphalia, Germany.
  • D. Burbach
    Burbach is a district of the city of Saarbrücken in the German federal state of Saarland.
  • E. Bergheim
    Bergheim is a town in western Germany situated along the Erft River, known for its historical center and proximity to the Cologne region.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833eb90c8190b10dca3ce0793ddf completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfb95b348190a006f699c01e85ce completed May 10, 2026, 6:34 p.m.
NEDg Description generation batch_6a00d0e1650881909eacc90cf99787f4 completed May 10, 2026, 6:39 p.m.
NED2 Entity disambiguation (via description) batch_6a00d1e024e88190bfcb50b42f37949b completed May 10, 2026, 6:43 p.m.
Created at: April 10, 2026, 4:56 a.m.