Triple

T15290135
Position Surface form Disambiguated ID Type / Status
Subject Vidzeme E365504 entity
Predicate containsCity P294 FINISHED
Object Limbaži
Limbaži is a historic town in northern Latvia known for its medieval origins and location within the Vidzeme region.
E1147891 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: Limbaži | Statement: [Vidzeme, containsCity, Limbaži]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limbaži
Context triple: [Vidzeme, containsCity, Limbaži]
  • A. Ludza
    Ludza is one of the principal towns of the Latgale region in eastern Latvia, known for its historic castle ruins and status as one of the country’s oldest settlements.
  • B. Mravaldzali
    Mravaldzali is a village located in Georgia’s mountainous Racha region, known for its scenic landscapes and traditional rural character.
  • C. Ladzin
    Ladzin is a village in southeastern Poland that forms part of the rural area administered by Gmina Rymanów in the Subcarpathian region.
  • D. Luduș
    Luduș is a small town in central Romania known for its location in the historical region of Transylvania along the Mureș River.
  • E. Limba
    The Limba are one of the largest and oldest indigenous ethnic groups in Sierra Leone, known for their distinct language, cultural traditions, and historical role in the country’s northern regions.
  • 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: Limbaži
Triple: [Vidzeme, containsCity, Limbaži]
Generated description
Limbaži is a historic town in northern Latvia known for its medieval origins and location within the Vidzeme region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Limbaži
Target entity description: Limbaži is a historic town in northern Latvia known for its medieval origins and location within the Vidzeme region.
  • A. Ludza
    Ludza is one of the principal towns of the Latgale region in eastern Latvia, known for its historic castle ruins and status as one of the country’s oldest settlements.
  • B. Mravaldzali
    Mravaldzali is a village located in Georgia’s mountainous Racha region, known for its scenic landscapes and traditional rural character.
  • C. Ladzin
    Ladzin is a village in southeastern Poland that forms part of the rural area administered by Gmina Rymanów in the Subcarpathian region.
  • D. Luduș
    Luduș is a small town in central Romania known for its location in the historical region of Transylvania along the Mureș River.
  • E. Limba
    The Limba are one of the largest and oldest indigenous ethnic groups in Sierra Leone, known for their distinct language, cultural traditions, and historical role in the country’s northern regions.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e5635b4819092a69b5806d15bff completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef7d4da4819080f101c3a525ea11 completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69fef050d1588190942e1d3f3083607a completed May 9, 2026, 8:29 a.m.
NED2 Entity disambiguation (via description) batch_69fef19d55588190b816d4c37f3a7010 completed May 9, 2026, 8:34 a.m.
Created at: April 10, 2026, 3:15 a.m.