Triple

T19523583
Position Surface form Disambiguated ID Type / Status
Subject Latvian Higher League E488463 entity
Predicate alsoKnownAs P39 FINISHED
Object Virslīga
Virslīga is the top professional football league in Latvia, featuring the country’s highest-level clubs competing for the national championship.
 E1379891 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: Virslīga | Statement: [Latvian Higher League, alsoKnownAs, Virslīga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Virslīga
Context triple: [Latvian Higher League, alsoKnownAs, Virslīga]
  • A. Vaiņode
    Vaiņode is a small town in western Latvia, situated in the historical region of Kurzeme.
  • B. Vecrīga
    Vecrīga is the historic old town of Riga, Latvia, known for its medieval architecture, cobblestone streets, and status as a UNESCO World Heritage Site.
  • C. Võsu
    Võsu is a small coastal settlement in northern Estonia known for its sandy beach and role as a popular summer resort.
  • D. Lengvenis
    Lengvenis was a medieval Lithuanian nobleman and son of Grand Duke Algirdas of Lithuania.
  • E. Velnias
    Velnias is a chthonic deity in Baltic paganism associated with the underworld, the dead, and often trickster-like or demonic qualities.
  • 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: Virslīga
Triple: [Latvian Higher League, alsoKnownAs, Virslīga]
Generated description
Virslīga is the top professional football league in Latvia, featuring the country’s highest-level clubs competing for the national championship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Virslīga
Target entity description: Virslīga is the top professional football league in Latvia, featuring the country’s highest-level clubs competing for the national championship.
  • A. Vaiņode
    Vaiņode is a small town in western Latvia, situated in the historical region of Kurzeme.
  • B. Vecrīga
    Vecrīga is the historic old town of Riga, Latvia, known for its medieval architecture, cobblestone streets, and status as a UNESCO World Heritage Site.
  • C. Võsu
    Võsu is a small coastal settlement in northern Estonia known for its sandy beach and role as a popular summer resort.
  • D. Lengvenis
    Lengvenis was a medieval Lithuanian nobleman and son of Grand Duke Algirdas of Lithuania.
  • E. Velnias
    Velnias is a chthonic deity in Baltic paganism associated with the underworld, the dead, and often trickster-like or demonic qualities.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e636392444819094f6a2aa1cdf3d42 completed April 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07472cadd88190a7306b8891141157 completed May 15, 2026, 4:17 p.m.
NEDg Description generation batch_6a07484fcb28819082922c817170d118 completed May 15, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_6a07492428bc819084dad08d711679a5 completed May 15, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:41 p.m.