Triple

T4316167
Position Surface form Disambiguated ID Type / Status
Subject Gaiziņkalns E96396 entity
Predicate nearSettlement P3883 FINISHED
Object Madona
Madona is a town in eastern Latvia that serves as a regional center known for its proximity to the country’s highest hill, Gaiziņkalns.
 E430414 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: Madona | Statement: [Gaiziņkalns, nearSettlement, Madona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Madona
Context triple: [Gaiziņkalns, nearSettlement, Madona]
  • A. Madonna
    Madonna is a central figure in Christianity revered as the mother of Jesus Christ and a symbol of purity, compassion, and maternal devotion.
  • B. Madonna
    Madonna is an American pop icon, singer, songwriter, and actress widely known as the "Queen of Pop" for her influential, boundary-pushing work in music and popular culture since the 1980s.
  • C. Madonna Litta
    Madonna Litta is a renowned Renaissance painting, traditionally attributed to Leonardo da Vinci, depicting the Virgin Mary nursing the Christ Child.
  • D. Lolita Baucaire
    Lolita Baucaire was the first wife of American writer and self-improvement pioneer Dale Carnegie.
  • E. Belinda
    Belinda is a lively, hot-tempered but good-hearted schoolgirl character from Enid Blyton’s Malory Towers series.
  • 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: Madona
Triple: [Gaiziņkalns, nearSettlement, Madona]
Generated description
Madona is a town in eastern Latvia that serves as a regional center known for its proximity to the country’s highest hill, Gaiziņkalns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Madona
Target entity description: Madona is a town in eastern Latvia that serves as a regional center known for its proximity to the country’s highest hill, Gaiziņkalns.
  • A. Madonna
    Madonna is a central figure in Christianity revered as the mother of Jesus Christ and a symbol of purity, compassion, and maternal devotion.
  • B. Madonna
    Madonna is an American pop icon, singer, songwriter, and actress widely known as the "Queen of Pop" for her influential, boundary-pushing work in music and popular culture since the 1980s.
  • C. Madonna Litta
    Madonna Litta is a renowned Renaissance painting, traditionally attributed to Leonardo da Vinci, depicting the Virgin Mary nursing the Christ Child.
  • D. Lolita Baucaire
    Lolita Baucaire was the first wife of American writer and self-improvement pioneer Dale Carnegie.
  • E. Belinda
    Belinda is a lively, hot-tempered but good-hearted schoolgirl character from Enid Blyton’s Malory Towers series.
  • 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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350f60dfc819098202b7eb3bbf402 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d085f78481909bb6dd55bf06d9d6 completed March 14, 2026, 9:17 p.m.
NEDg Description generation batch_69b5d0f6d1d48190a3ecd1765043ac58 completed March 14, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_69b5d18381288190948a7a0c42dc8cbf completed March 14, 2026, 9:22 p.m.
Created at: March 12, 2026, 11:12 p.m.