Triple

T18246069
Position Surface form Disambiguated ID Type / Status
Subject Kurzeme E436956 entity
Predicate containsTown P847 FINISHED
Object Dobele
Dobele is a historic town in central Latvia known for its medieval castle ruins and role as a regional cultural and economic center.
 E1273759 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: Dobele | Statement: [Kurzeme, containsTown, Dobele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dobele
Context triple: [Kurzeme, containsTown, Dobele]
  • A. Dobele
    Dobele is a historic town in central Latvia that serves as one of the main urban centers of the Semigallia (Zemgale) region.
  • B. Dobruška
    Dobruška is a small historic town in the Hradec Králové Region of the Czech Republic, known for its preserved architecture and regional cultural heritage.
  • C. Dudinka
    Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
  • D. Jalovec
    Jalovec is a prominent mountain peak in the Gailtal Alps, known for its striking alpine scenery and challenging hiking and climbing routes.
  • E. Blšanka
    Blšanka is a small river in the Czech Republic that flows through the Ústí nad Labem and Karlovy Vary regions before joining the Ohře River.
  • 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: Dobele
Triple: [Kurzeme, containsTown, Dobele]
Generated description
Dobele is a historic town in central Latvia known for its medieval castle ruins and role as a regional cultural and economic center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dobele
Target entity description: Dobele is a historic town in central Latvia known for its medieval castle ruins and role as a regional cultural and economic center.
  • A. Dobele chosen
    Dobele is a historic town in central Latvia that serves as one of the main urban centers of the Semigallia (Zemgale) region.
  • B. Dobruška
    Dobruška is a small historic town in the Hradec Králové Region of the Czech Republic, known for its preserved architecture and regional cultural heritage.
  • C. Dudinka
    Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
  • D. Jalovec
    Jalovec is a prominent mountain peak in the Gailtal Alps, known for its striking alpine scenery and challenging hiking and climbing routes.
  • E. Blšanka
    Blšanka is a small river in the Czech Republic that flows through the Ústí nad Labem and Karlovy Vary regions before joining the Ohře River.
  • F. None of above.

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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7e6fbac8190bf252c4337f50c29 completed April 19, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03b3ec3ff48190907ddbb1cffe1936 completed May 12, 2026, 11:12 p.m.
NEDg Description generation batch_6a03b4a9648881908924fa06a74c52ca completed May 12, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_6a03b597ba408190a4e34a2fca922c84 completed May 12, 2026, 11:19 p.m.
Created at: April 10, 2026, 10:33 a.m.