Triple

T12824812
Position Surface form Disambiguated ID Type / Status
Subject Charles Augustus, Grand Duke of Saxe-Weimar-Eisenach E306620 entity
Predicate deathPlace P21 FINISHED
Object Graditz
Graditz is a locality in Germany known historically as the place where Charles Augustus, Grand Duke of Saxe-Weimar-Eisenach, died.
E1004440 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: Graditz | Statement: [Charles Augustus, Grand Duke of Saxe-Weimar-Eisenach, deathPlace, Graditz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graditz
Context triple: [Charles Augustus, Grand Duke of Saxe-Weimar-Eisenach, deathPlace, Graditz]
  • A. Lublinitz
    Lublinitz is the former German name for the town of Lubliniec, located in southern Poland’s Silesian region.
  • B. Löwenberg
    Löwenberg is a town in Germany known for its cultural and municipal partnership as a twin town of Weilburg.
  • C. Neubukow
    Neubukow is a small town in northern Germany best known as the birthplace of archaeologist Heinrich Schliemann.
  • D. Bromberg
    Bromberg is the former German name for the city of Bydgoszcz, a major urban and industrial center in present-day north-central Poland.
  • E. Niedenstein
    Niedenstein is a small town in central Germany known for its scenic location near the Habichtswald hills and its traditional half-timbered architecture.
  • 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: Graditz
Triple: [Charles Augustus, Grand Duke of Saxe-Weimar-Eisenach, deathPlace, Graditz]
Generated description
Graditz is a locality in Germany known historically as the place where Charles Augustus, Grand Duke of Saxe-Weimar-Eisenach, died.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Graditz
Target entity description: Graditz is a locality in Germany known historically as the place where Charles Augustus, Grand Duke of Saxe-Weimar-Eisenach, died.
  • A. Lublinitz
    Lublinitz is the former German name for the town of Lubliniec, located in southern Poland’s Silesian region.
  • B. Löwenberg
    Löwenberg is a town in Germany known for its cultural and municipal partnership as a twin town of Weilburg.
  • C. Neubukow
    Neubukow is a small town in northern Germany best known as the birthplace of archaeologist Heinrich Schliemann.
  • D. Bromberg
    Bromberg is the former German name for the city of Bydgoszcz, a major urban and industrial center in present-day north-central Poland.
  • E. Niedenstein
    Niedenstein is a small town in central Germany known for its scenic location near the Habichtswald hills and its traditional half-timbered architecture.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96edcc99c8190986cd78fe4714835 completed April 10, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ed337248190a007fe18c6379910 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f691341d0081909ca3b281ee64b42b completed May 3, 2026, 12:05 a.m.
NED2 Entity disambiguation (via description) batch_69f692361c3c81909078a19be1a86231 completed May 3, 2026, 12:09 a.m.
Created at: April 9, 2026, 5:32 p.m.