Triple

T11231439
Position Surface form Disambiguated ID Type / Status
Subject Johann Heermann E265829 entity
Predicate placeOfBirth P1 FINISHED
Object Raudten
Raudten is a historical town in Silesia, now known as Rudna in modern-day Poland.
E912935 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: Raudten | Statement: [Johann Heermann, placeOfBirth, Raudten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raudten
Context triple: [Johann Heermann, placeOfBirth, Raudten]
  • A. Ruda
    Ruda is the former name of the global sportswear and athletic brand now known as Puma.
  • B. Rzav
    Rzav is a river in the western Balkans that flows through Serbia and Bosnia and Herzegovina before joining the Drina River.
  • C. Graustark
    Graustark is a popular early 20th-century romantic adventure novel by George Barr McCutcheon set in a fictional Eastern European kingdom.
  • D. Bleckede
    Bleckede is a small town in Lower Saxony, Germany, situated on the Elbe River and known for its historic architecture and natural surroundings.
  • E. Rudsak
    Rudsak is a Canadian fashion brand known for its contemporary outerwear, leather goods, and accessories.
  • 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: Raudten
Triple: [Johann Heermann, placeOfBirth, Raudten]
Generated description
Raudten is a historical town in Silesia, now known as Rudna in modern-day Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Raudten
Target entity description: Raudten is a historical town in Silesia, now known as Rudna in modern-day Poland.
  • A. Ruda
    Ruda is the former name of the global sportswear and athletic brand now known as Puma.
  • B. Rzav
    Rzav is a river in the western Balkans that flows through Serbia and Bosnia and Herzegovina before joining the Drina River.
  • C. Graustark
    Graustark is a popular early 20th-century romantic adventure novel by George Barr McCutcheon set in a fictional Eastern European kingdom.
  • D. Bleckede
    Bleckede is a small town in Lower Saxony, Germany, situated on the Elbe River and known for its historic architecture and natural surroundings.
  • E. Rudsak
    Rudsak is a Canadian fashion brand known for its contemporary outerwear, leather goods, and accessories.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9026e1c81909456ac946bbba972 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad49b5cc8190b99cb2cd8de72109 completed April 19, 2026, 10:24 a.m.
NEDg Description generation batch_69e4b12dd658819085c25d3edac2d66c completed April 19, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_69e4b3d23b18819096f3a11aecc732bd completed April 19, 2026, 10:52 a.m.
Created at: April 8, 2026, 9:30 p.m.