Triple

T18246068
Position Surface form Disambiguated ID Type / Status
Subject Kurzeme E436956 entity
Predicate containsTown P847 FINISHED
Object Jaunpils
Jaunpils is a small historic town in western Latvia known for its medieval castle and rural surroundings.
E1327706 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: Jaunpils | Statement: [Kurzeme, containsTown, Jaunpils]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaunpils
Context triple: [Kurzeme, containsTown, Jaunpils]
  • A. Jekabpils
    Jekabpils is a town in southeastern Latvia known for its historic architecture and scenic location along the Daugava River.
  • B. Daugavpils
    Daugavpils is Latvia’s second-largest city, known as the birthplace of abstract expressionist painter Mark Rothko and for its multicultural heritage and 19th-century fortress.
  • C. Valmiera
    Valmiera is a historic city in northern Latvia, situated on the Gauja River and known today as a regional economic and cultural center in the Vidzeme region.
  • D. Jelgava
    Jelgava is a city in central Latvia known for its historic Jelgava Palace and role as a regional cultural and educational center.
  • E. Kuldīga
    Kuldīga is a historic town in western Latvia known for its well-preserved old town and proximity to the Venta Rapid, one of Europe’s widest natural waterfalls.
  • 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: Jaunpils
Triple: [Kurzeme, containsTown, Jaunpils]
Generated description
Jaunpils is a small historic town in western Latvia known for its medieval castle and rural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jaunpils
Target entity description: Jaunpils is a small historic town in western Latvia known for its medieval castle and rural surroundings.
  • A. Jekabpils
    Jekabpils is a town in southeastern Latvia known for its historic architecture and scenic location along the Daugava River.
  • B. Daugavpils
    Daugavpils is Latvia’s second-largest city, known as the birthplace of abstract expressionist painter Mark Rothko and for its multicultural heritage and 19th-century fortress.
  • C. Valmiera
    Valmiera is a historic city in northern Latvia, situated on the Gauja River and known today as a regional economic and cultural center in the Vidzeme region.
  • D. Jelgava
    Jelgava is a city in central Latvia known for its historic Jelgava Palace and role as a regional cultural and educational center.
  • E. Kuldīga
    Kuldīga is a historic town in western Latvia known for its well-preserved old town and proximity to the Venta Rapid, one of Europe’s widest natural waterfalls.
  • 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_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_6a0471296c7481909b965ab1c53cbc73 completed May 13, 2026, 12:40 p.m.
NEDg Description generation batch_6a047af5116c8190b04f8f20e7062352 completed May 13, 2026, 1:21 p.m.
NED2 Entity disambiguation (via description) batch_6a047b4272688190a7f3cb839852e640 completed May 13, 2026, 1:23 p.m.
Created at: April 10, 2026, 10:33 a.m.