Triple

T12163844
Position Surface form Disambiguated ID Type / Status
Subject Algirdas E289778 entity
Predicate child P120 FINISHED
Object Lengvenis
Lengvenis was a medieval Lithuanian nobleman and son of Grand Duke Algirdas of Lithuania.
E966568 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: Lengvenis | Statement: [Algirdas, child, Lengvenis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lengvenis
Context triple: [Algirdas, child, Lengvenis]
  • A. Vianen
    Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
  • B. Balta
    Balta is a city that gained historical significance as a strategic location captured during the Uman–Botoșani offensive in World War II.
  • C. Lindinis
    Lindinis is the Roman-era name for the town now known as Ilchester in Somerset, England, which served as an important settlement in Roman Britain.
  • D. Baltus
    Baltus is a fictional character best known as the wealthy farmer and father of Katrina Van Tassel in Washington Irving’s short story “The Legend of Sleepy Hollow.”
  • E. Varniai
    Varniai is a historic town in Lithuania that once served as a key political and religious center of the Samogitian region.
  • 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: Lengvenis
Triple: [Algirdas, child, Lengvenis]
Generated description
Lengvenis was a medieval Lithuanian nobleman and son of Grand Duke Algirdas of Lithuania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lengvenis
Target entity description: Lengvenis was a medieval Lithuanian nobleman and son of Grand Duke Algirdas of Lithuania.
  • A. Vianen
    Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
  • B. Balta
    Balta is a city that gained historical significance as a strategic location captured during the Uman–Botoșani offensive in World War II.
  • C. Lindinis
    Lindinis is the Roman-era name for the town now known as Ilchester in Somerset, England, which served as an important settlement in Roman Britain.
  • D. Baltus
    Baltus is a fictional character best known as the wealthy farmer and father of Katrina Van Tassel in Washington Irving’s short story “The Legend of Sleepy Hollow.”
  • E. Varniai
    Varniai is a historic town in Lithuania that once served as a key political and religious center of the Samogitian region.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c498a081908389598d0c247505 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a2716081909620a9d11cfcc2d8 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6017f89d88190b766af7828794d87 completed May 2, 2026, 1:51 p.m.
NED2 Entity disambiguation (via description) batch_69f60232d89881909f254da6deb7f321 completed May 2, 2026, 1:54 p.m.
Created at: April 8, 2026, 9:50 p.m.