Triple

T9071307
Position Surface form Disambiguated ID Type / Status
Subject Bezirk Baden E217371 entity
Predicate contains P35 FINISHED
Object Enzesfeld-Lindabrunn
Enzesfeld-Lindabrunn is a market town in Lower Austria known for its residential character and proximity to Vienna within the Baden district.
E776149 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: Enzesfeld-Lindabrunn | Statement: [Bezirk Baden, contains, Enzesfeld-Lindabrunn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enzesfeld-Lindabrunn
Context triple: [Bezirk Baden, contains, Enzesfeld-Lindabrunn]
  • A. Eggenfelden
    Eggenfelden is a town in southeastern Germany known as a local commercial and cultural center within the region of Lower Bavaria.
  • B. Eberhardzell
    Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
  • C. Ebersbach an der Fils
    Ebersbach an der Fils is a small town in the German state of Baden-Württemberg, situated along the Fils River east of Stuttgart.
  • D. Erstfeld
    Erstfeld is a municipality in the Swiss canton of Uri, situated in a mountainous valley that serves as an important transport corridor through the Alps.
  • E. Lengenfeld
    Lengenfeld is a small town in the Free State of Saxony in eastern Germany, known as the birthplace of biblical scholar Constantin von Tischendorf.
  • 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: Enzesfeld-Lindabrunn
Triple: [Bezirk Baden, contains, Enzesfeld-Lindabrunn]
Generated description
Enzesfeld-Lindabrunn is a market town in Lower Austria known for its residential character and proximity to Vienna within the Baden district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Enzesfeld-Lindabrunn
Target entity description: Enzesfeld-Lindabrunn is a market town in Lower Austria known for its residential character and proximity to Vienna within the Baden district.
  • A. Eggenfelden
    Eggenfelden is a town in southeastern Germany known as a local commercial and cultural center within the region of Lower Bavaria.
  • B. Eberhardzell
    Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
  • C. Ebersbach an der Fils
    Ebersbach an der Fils is a small town in the German state of Baden-Württemberg, situated along the Fils River east of Stuttgart.
  • D. Erstfeld
    Erstfeld is a municipality in the Swiss canton of Uri, situated in a mountainous valley that serves as an important transport corridor through the Alps.
  • E. Lengenfeld
    Lengenfeld is a small town in the Free State of Saxony in eastern Germany, known as the birthplace of biblical scholar Constantin von Tischendorf.
  • 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_69cffdf72e74819086f576a4b2532387 completed April 3, 2026, 5:50 p.m.
NEDg Description generation batch_69d000d4a4548190939a9a9946be469b completed April 3, 2026, 6:03 p.m.
NED2 Entity disambiguation (via description) batch_69d001b245f08190a8e5c53c570b20a0 completed April 3, 2026, 6:06 p.m.
Created at: March 30, 2026, 7:12 p.m.