Triple

T2915608
Position Surface form Disambiguated ID Type / Status
Subject Vogtland E78598 entity
Predicate contains P35 FINISHED
Object Oelsnitz (Vogtland)
Oelsnitz (Vogtland) is a small town in the Vogtland region of Saxony, Germany, known for its historical architecture and regional cultural heritage.
E310950 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: Oelsnitz (Vogtland) | Statement: [Vogtland, contains, Oelsnitz (Vogtland)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oelsnitz (Vogtland)
Context triple: [Vogtland, contains, Oelsnitz (Vogtland)]
  • A. Wurzen
    Wurzen is a historic town in the German state of Saxony, known for its medieval architecture and location on the river Mulde east of Leipzig.
  • B. Genthin
    Genthin is a small town in the German state of Saxony-Anhalt, historically part of Prussia and known for its location along the Elbe–Havel Canal.
  • C. Zwönitz
    Zwönitz is a river in Saxony, Germany, that serves as one of the headstreams of the Chemnitz River.
  • D. Altenburg
    Altenburg is a historic town in eastern Thuringia, Germany, known for its playing-card tradition and as the birthplace of the card game Skat.
  • E. Bautzen
    Bautzen is a historic town in eastern Germany known for its well-preserved medieval architecture and as a cultural center of the Sorbian minority.
  • 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: Oelsnitz (Vogtland)
Triple: [Vogtland, contains, Oelsnitz (Vogtland)]
Generated description
Oelsnitz (Vogtland) is a small town in the Vogtland region of Saxony, Germany, known for its historical architecture and regional cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oelsnitz (Vogtland)
Target entity description: Oelsnitz (Vogtland) is a small town in the Vogtland region of Saxony, Germany, known for its historical architecture and regional cultural heritage.
  • A. Wurzen
    Wurzen is a historic town in the German state of Saxony, known for its medieval architecture and location on the river Mulde east of Leipzig.
  • B. Genthin
    Genthin is a small town in the German state of Saxony-Anhalt, historically part of Prussia and known for its location along the Elbe–Havel Canal.
  • C. Zwönitz
    Zwönitz is a river in Saxony, Germany, that serves as one of the headstreams of the Chemnitz River.
  • D. Altenburg
    Altenburg is a historic town in eastern Thuringia, Germany, known for its playing-card tradition and as the birthplace of the card game Skat.
  • E. Bautzen
    Bautzen is a historic town in eastern Germany known for its well-preserved medieval architecture and as a cultural center of the Sorbian minority.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a1a9f8819095fe3198e9d3f6b0 completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b056249b5c8190b388088bf047616f completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b06434bef48190848d8ab1aa59937c completed March 10, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_69b064a3b41481909214a09eae0b092b completed March 10, 2026, 6:36 p.m.
Created at: March 8, 2026, 2:52 p.m.