Triple

T12051600
Position Surface form Disambiguated ID Type / Status
Subject Mindaugas E286927 entity
Predicate child P120 FINISHED
Object Vaišvilkas
Vaišvilkas was a 13th-century Lithuanian duke and briefly Grand Duke of Lithuania, known for his monastic life and role in the early consolidation of the Lithuanian state.
 E960867 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: Vaišvilkas | Statement: [Mindaugas, child, Vaišvilkas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vaišvilkas
Context triple: [Mindaugas, child, Vaišvilkas]
  • A. Kazlų Rūda
    Kazlų Rūda is a small town in central Lithuania known for its surrounding forests, timber industry, and railway connections.
  • B. Ełk
    Ełk is a town in northeastern Poland known for its lakeside setting and role as a local economic and cultural center.
  • C. Bukowiec
    Bukowiec is a village in southwestern Poland known for its scenic location in the Karkonosze foothills and historic park-and-palace complex.
  • D. Gietrzwałd
    Gietrzwałd is a village in northern Poland known as a Catholic pilgrimage site due to reported Marian apparitions in 1877.
  • E. Budyšin
    Budyšin is the Upper Sorbian name for the historic town of Bautzen in eastern Germany, a cultural center of the Sorbian minority.
  • 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: Vaišvilkas
Triple: [Mindaugas, child, Vaišvilkas]
Generated description
Vaišvilkas was a 13th-century Lithuanian duke and briefly Grand Duke of Lithuania, known for his monastic life and role in the early consolidation of the Lithuanian state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vaišvilkas
Target entity description: Vaišvilkas was a 13th-century Lithuanian duke and briefly Grand Duke of Lithuania, known for his monastic life and role in the early consolidation of the Lithuanian state.
  • A. Kazlų Rūda
    Kazlų Rūda is a small town in central Lithuania known for its surrounding forests, timber industry, and railway connections.
  • B. Ełk
    Ełk is a town in northeastern Poland known for its lakeside setting and role as a local economic and cultural center.
  • C. Bukowiec
    Bukowiec is a village in southwestern Poland known for its scenic location in the Karkonosze foothills and historic park-and-palace complex.
  • D. Gietrzwałd
    Gietrzwałd is a village in northern Poland known as a Catholic pilgrimage site due to reported Marian apparitions in 1877.
  • E. Budyšin
    Budyšin is the Upper Sorbian name for the historic town of Bautzen in eastern Germany, a cultural center of the Sorbian minority.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90423b22081908fba82fbc6b40eb5 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49ddde6548190adae2a889ec5c72b completed May 1, 2026, 12:34 p.m.
NEDg Description generation batch_69f53d95d4fc8190b5f4e460646bec2a completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f56505c0b481909f9caaf338f73033 completed May 2, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:47 p.m.