Triple

T15142033
Position Surface form Disambiguated ID Type / Status
Subject Bruno Paul E361707 entity
Predicate placeOfBirth P1 FINISHED
Object Seifhennersdorf
Seifhennersdorf is a small town in the Görlitz district of Saxony in eastern Germany, near the Czech border.
E1164510 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: Seifhennersdorf | Statement: [Bruno Paul, placeOfBirth, Seifhennersdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seifhennersdorf
Context triple: [Bruno Paul, placeOfBirth, Seifhennersdorf]
  • A. Rannersdorf
    Rannersdorf is a village and cadastral community that forms part of the town of Schwechat in Lower Austria, near Vienna.
  • B. Oberwaltersdorf
    Oberwaltersdorf is a municipality in Lower Austria known for its residential character, proximity to Vienna, and local wine-growing and leisure facilities.
  • C. Gänserndorf
    Gänserndorf is a town in Lower Austria that serves as a regional center on the eastern edge of the Marchfeld plain, northeast of Vienna.
  • D. Gimmersdorf
    Gimmersdorf is a small village that forms one of the local subdivisions of the municipality of Wachtberg in Germany.
  • E. Kaiserebersdorf
    Kaiserebersdorf is a neighborhood in Vienna, Austria, located within the district of Simmering and known for its mix of residential areas and industrial facilities.
  • 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: Seifhennersdorf
Triple: [Bruno Paul, placeOfBirth, Seifhennersdorf]
Generated description
Seifhennersdorf is a small town in the Görlitz district of Saxony in eastern Germany, near the Czech border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seifhennersdorf
Target entity description: Seifhennersdorf is a small town in the Görlitz district of Saxony in eastern Germany, near the Czech border.
  • A. Rannersdorf
    Rannersdorf is a village and cadastral community that forms part of the town of Schwechat in Lower Austria, near Vienna.
  • B. Oberwaltersdorf
    Oberwaltersdorf is a municipality in Lower Austria known for its residential character, proximity to Vienna, and local wine-growing and leisure facilities.
  • C. Gänserndorf
    Gänserndorf is a town in Lower Austria that serves as a regional center on the eastern edge of the Marchfeld plain, northeast of Vienna.
  • D. Gimmersdorf
    Gimmersdorf is a small village that forms one of the local subdivisions of the municipality of Wachtberg in Germany.
  • E. Kaiserebersdorf
    Kaiserebersdorf is a neighborhood in Vienna, Austria, located within the district of Simmering and known for its mix of residential areas and industrial facilities.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c5c4248190b57234e3ccf2831b completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c2d21348190a8045cf1847396e0 completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff4cf62a6081909ba4904d599d1f3c completed May 9, 2026, 3:04 p.m.
NED2 Entity disambiguation (via description) batch_69ff4d61c16c8190831f894fc224efbc completed May 9, 2026, 3:06 p.m.
Created at: April 10, 2026, 3:07 a.m.