Triple

T15445624
Position Surface form Disambiguated ID Type / Status
Subject Villach E370013 entity
Predicate hasBridge P386 FINISHED
Object Draubrücke
Draubrücke is a bridge in the Austrian city of Villach that spans the Drava (Drau) River and serves as an important local traffic connection.
E1162713 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: Draubrücke | Statement: [Villach, hasBridge, Draubrücke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Draubrücke
Context triple: [Villach, hasBridge, Draubrücke]
  • A. Basteibrücke
    Basteibrücke is a famous sandstone bridge and viewpoint in Germany’s Saxon Switzerland National Park, offering dramatic views over the Elbe River and surrounding rock formations.
  • B. Kindelbrück
    Kindelbrück is a small town in the German state of Thuringia, situated in the Unstrut river valley and known for its rural character and historical architecture.
  • C. Bersenbrück
    Bersenbrück is a small town in Lower Saxony, Germany, known for its historic abbey and its location on the river Hase.
  • D. Warthbrücken
    Warthbrücken is the German name for the Polish town of Koło, located in central Poland on the Warta River.
  • E. Kornhausbrücke
    Kornhausbrücke is a historic bridge in Bern, Switzerland, spanning the Aare River and connecting the Old City with newer districts.
  • 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: Draubrücke
Triple: [Villach, hasBridge, Draubrücke]
Generated description
Draubrücke is a bridge in the Austrian city of Villach that spans the Drava (Drau) River and serves as an important local traffic connection.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Draubrücke
Target entity description: Draubrücke is a bridge in the Austrian city of Villach that spans the Drava (Drau) River and serves as an important local traffic connection.
  • A. Basteibrücke
    Basteibrücke is a famous sandstone bridge and viewpoint in Germany’s Saxon Switzerland National Park, offering dramatic views over the Elbe River and surrounding rock formations.
  • B. Kindelbrück
    Kindelbrück is a small town in the German state of Thuringia, situated in the Unstrut river valley and known for its rural character and historical architecture.
  • C. Bersenbrück
    Bersenbrück is a small town in Lower Saxony, Germany, known for its historic abbey and its location on the river Hase.
  • D. Warthbrücken
    Warthbrücken is the German name for the Polish town of Koło, located in central Poland on the Warta River.
  • E. Kornhausbrücke
    Kornhausbrücke is a historic bridge in Bern, Switzerland, spanning the Aare River and connecting the Old City with newer districts.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef666e08190a02a01a676306ab9 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d42977881909ed07b58c029cbe9 completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff40fa8b8c8190b75987e897a20cf5 completed May 9, 2026, 2:13 p.m.
NED2 Entity disambiguation (via description) batch_69ff4158866c819087240d56e613f75c completed May 9, 2026, 2:14 p.m.
Created at: April 10, 2026, 3:21 a.m.