Triple

T9071293
Position Surface form Disambiguated ID Type / Status
Subject Bezirk Baden E217371 entity
Predicate contains P35 FINISHED
Object Ebreichsdorf
Ebreichsdorf is a small town in Lower Austria known for its equestrian facilities and proximity to Vienna.
E783151 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: Ebreichsdorf | Statement: [Bezirk Baden, contains, Ebreichsdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ebreichsdorf
Context triple: [Bezirk Baden, contains, Ebreichsdorf]
  • A. Kiliansdorf
    Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
  • B. Ebersdorf
    Ebersdorf is a historic town in present-day Germany that once served as the capital of one of the small Reuss principalities.
  • C. Beckenried
    Beckenried is a Swiss lakeside municipality and village situated on the shores of Lake Lucerne in the canton of Nidwalden.
  • D. Weißkirchen
    Weißkirchen is a district of the town Oberursel in the Taunus region of Hesse, Germany, characterized by its suburban residential setting near Frankfurt.
  • E. Neulengbach
    Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
  • 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: Ebreichsdorf
Triple: [Bezirk Baden, contains, Ebreichsdorf]
Generated description
Ebreichsdorf is a small town in Lower Austria known for its equestrian facilities and proximity to Vienna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ebreichsdorf
Target entity description: Ebreichsdorf is a small town in Lower Austria known for its equestrian facilities and proximity to Vienna.
  • A. Kiliansdorf
    Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
  • B. Ebersdorf
    Ebersdorf is a historic town in present-day Germany that once served as the capital of one of the small Reuss principalities.
  • C. Beckenried
    Beckenried is a Swiss lakeside municipality and village situated on the shores of Lake Lucerne in the canton of Nidwalden.
  • D. Weißkirchen
    Weißkirchen is a district of the town Oberursel in the Taunus region of Hesse, Germany, characterized by its suburban residential setting near Frankfurt.
  • E. Neulengbach
    Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
  • 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_69d05beac7a08190a4e7634bf02ce304 completed April 4, 2026, 12:31 a.m.
NEDg Description generation batch_69d05d858f7481908151d87e1a33016a completed April 4, 2026, 12:38 a.m.
NED2 Entity disambiguation (via description) batch_69d05e11d3e481908a7a25d8c18b3008 completed April 4, 2026, 12:40 a.m.
Created at: March 30, 2026, 7:12 p.m.