Triple

T17851577
Position Surface form Disambiguated ID Type / Status
Subject Zittau E445817 entity
Predicate near P350 FINISHED
Object Jonsdorf
Jonsdorf is a small spa and tourist village in the Zittau Mountains of Saxony, Germany, known for its scenic sandstone formations and hiking trails.
E1293098 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: Jonsdorf | Statement: [Zittau, near, Jonsdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonsdorf
Context triple: [Zittau, near, Jonsdorf]
  • A. Pottendorf
    Pottendorf is a market town in Lower Austria known for its historic castle and location within the Baden district.
  • B. Perasdorf
    Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany.
  • C. Kiliansdorf
    Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
  • D. Jägerndorf
    Jägerndorf is a historic Silesian town (now Krnov in the Czech Republic) known for its strategic and political significance in Central European history.
  • E. Nițchidorf
    Nițchidorf is a village in Timiș County, western Romania, known as the birthplace of Nobel Prize–winning author Herta Müller.
  • 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: Jonsdorf
Triple: [Zittau, near, Jonsdorf]
Generated description
Jonsdorf is a small spa and tourist village in the Zittau Mountains of Saxony, Germany, known for its scenic sandstone formations and hiking trails.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jonsdorf
Target entity description: Jonsdorf is a small spa and tourist village in the Zittau Mountains of Saxony, Germany, known for its scenic sandstone formations and hiking trails.
  • A. Pottendorf
    Pottendorf is a market town in Lower Austria known for its historic castle and location within the Baden district.
  • B. Perasdorf
    Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany.
  • C. Kiliansdorf
    Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
  • D. Jägerndorf
    Jägerndorf is a historic Silesian town (now Krnov in the Czech Republic) known for its strategic and political significance in Central European history.
  • E. Nițchidorf
    Nițchidorf is a village in Timiș County, western Romania, known as the birthplace of Nobel Prize–winning author Herta Müller.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48fff6c288190a2b5e60b66c03ddc completed April 19, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0313c8942c8190bbe08068e4beced7 completed May 12, 2026, 11:49 a.m.
NEDg Description generation batch_6a031493fcb881909f0840d6a3a4ce92 completed May 12, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a031599f7e0819097f0b9fe890d8731 completed May 12, 2026, 11:57 a.m.
Created at: April 10, 2026, 10:17 a.m.