Triple

T14941447
Position Surface form Disambiguated ID Type / Status
Subject Děčín E372539 entity
Predicate locatedOnRiver P165 FINISHED
Object Ploučnice
Ploučnice is a river in the northern Czech Republic that flows through the Ústí nad Labem Region before joining the Elbe.
 E1127941 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: Ploučnice | Statement: [Děčín, locatedOnRiver, Ploučnice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ploučnice
Context triple: [Děčín, locatedOnRiver, Ploučnice]
  • A. Pálava
    Pálava is a renowned wine-producing region in the Czech Republic, noted for its limestone hills and high-quality white wines, especially aromatic varieties.
  • B. Husinec
    Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
  • C. Lubenice
    Lubenice is a small, historic hilltop village on the Croatian island of Cres, known for its stone architecture, dramatic cliffs, and views over the Adriatic Sea.
  • D. Přeštice
    Přeštice is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for the surrounding area.
  • E. Pohořelice
    Pohořelice is a small town in the South Moravian Region of the Czech Republic, known for its agricultural surroundings and proximity to the city of Brno.
  • 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: Ploučnice
Triple: [Děčín, locatedOnRiver, Ploučnice]
Generated description
Ploučnice is a river in the northern Czech Republic that flows through the Ústí nad Labem Region before joining the Elbe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ploučnice
Target entity description: Ploučnice is a river in the northern Czech Republic that flows through the Ústí nad Labem Region before joining the Elbe.
  • A. Pálava
    Pálava is a renowned wine-producing region in the Czech Republic, noted for its limestone hills and high-quality white wines, especially aromatic varieties.
  • B. Husinec
    Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
  • C. Lubenice
    Lubenice is a small, historic hilltop village on the Croatian island of Cres, known for its stone architecture, dramatic cliffs, and views over the Adriatic Sea.
  • D. Přeštice
    Přeštice is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for the surrounding area.
  • E. Pohořelice
    Pohořelice is a small town in the South Moravian Region of the Czech Republic, known for its agricultural surroundings and proximity to the city of Brno.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68c1df0819084c0cd61b207d398 completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e929f3881908560b8428e72327d completed May 9, 2026, 12:23 a.m.
NEDg Description generation batch_69fe80c984288190a10abebc8c07e00d completed May 9, 2026, 12:33 a.m.
NED2 Entity disambiguation (via description) batch_69fe818794908190a2fa686adb0575d5 completed May 9, 2026, 12:36 a.m.
Created at: April 10, 2026, 2:38 a.m.