Triple

T9071305
Position Surface form Disambiguated ID Type / Status
Subject Bezirk Baden E217371 entity
Predicate contains P35 FINISHED
Object Tattendorf
Tattendorf is a small wine-growing village and municipality in Lower Austria, known for its vineyards and rural character.
E799969 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: Tattendorf | Statement: [Bezirk Baden, contains, Tattendorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tattendorf
Context triple: [Bezirk Baden, contains, Tattendorf]
  • A. Teisendorf
    Teisendorf is a market town in southeastern Bavaria, Germany, known for its rural Alpine setting and traditional Bavarian character.
  • B. Pottendorf
    Pottendorf is a market town in Lower Austria known for its historic castle and location within the Baden district.
  • C. Fritzdorf
    Fritzdorf is a village in the municipality of Wachtberg in North Rhine-Westphalia, Germany.
  • D. Wietzendorf
    Wietzendorf is a small municipality in Lower Saxony, Germany, known for its rural character and location in the Lüneburg Heath region.
  • E. Schopsdorf
    Schopsdorf is a small village and former municipality in the Jerichower Land district of Saxony-Anhalt, Germany.
  • 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: Tattendorf
Triple: [Bezirk Baden, contains, Tattendorf]
Generated description
Tattendorf is a small wine-growing village and municipality in Lower Austria, known for its vineyards and rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tattendorf
Target entity description: Tattendorf is a small wine-growing village and municipality in Lower Austria, known for its vineyards and rural character.
  • A. Teisendorf
    Teisendorf is a market town in southeastern Bavaria, Germany, known for its rural Alpine setting and traditional Bavarian character.
  • B. Pottendorf
    Pottendorf is a market town in Lower Austria known for its historic castle and location within the Baden district.
  • C. Fritzdorf
    Fritzdorf is a village in the municipality of Wachtberg in North Rhine-Westphalia, Germany.
  • D. Wietzendorf
    Wietzendorf is a small municipality in Lower Saxony, Germany, known for its rural character and location in the Lüneburg Heath region.
  • E. Schopsdorf
    Schopsdorf is a small village and former municipality in the Jerichower Land district of Saxony-Anhalt, Germany.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc955ec5c0819089bb42448edf391e completed April 1, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1100ccc888190a80f4b73b336c1ad completed April 4, 2026, 1:20 p.m.
NEDg Description generation batch_69d112b25d1081908d47f2732f308b99 completed April 4, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69d113132830819098380755fe8232a7 completed April 4, 2026, 1:33 p.m.
Created at: March 30, 2026, 7:12 p.m.