Triple

T12136863
Position Surface form Disambiguated ID Type / Status
Subject Gediminas E289079 entity
Predicate child P120 FINISHED
Object Karijotas
Karijotas was a 14th-century Lithuanian prince of the Gediminid dynasty and son of Grand Duke Gediminas, known for his role in the politics of the Grand Duchy of Lithuania.
E968147 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: Karijotas | Statement: [Gediminas, child, Karijotas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karijotas
Context triple: [Gediminas, child, Karijotas]
  • A. Karijord
    Karijord is the surname of Norwegian-born artist and composer Rebekka Karijord, known for her atmospheric music and film scores.
  • B. Karesi
    Karesi is a central district and municipality of Balıkesir in western Turkey, known for its role as an administrative and commercial hub of the province.
  • C. Kasari
    Kasari is a town located on Amami Ōshima in Japan’s Kagoshima Prefecture, known for its subtropical island scenery and coastal environment.
  • D. Sukošan
    Sukošan is a coastal village and popular tourist destination on the Adriatic Sea in Croatia, known for its marina and beaches near the city of Zadar.
  • E. Kopaska
    Kopaska is the Indonesian Navy’s elite frogman and special operations unit, specializing in underwater demolition, maritime sabotage, and counter-terrorism missions.
  • 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: Karijotas
Triple: [Gediminas, child, Karijotas]
Generated description
Karijotas was a 14th-century Lithuanian prince of the Gediminid dynasty and son of Grand Duke Gediminas, known for his role in the politics of the Grand Duchy of Lithuania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karijotas
Target entity description: Karijotas was a 14th-century Lithuanian prince of the Gediminid dynasty and son of Grand Duke Gediminas, known for his role in the politics of the Grand Duchy of Lithuania.
  • A. Karijord
    Karijord is the surname of Norwegian-born artist and composer Rebekka Karijord, known for her atmospheric music and film scores.
  • B. Karesi
    Karesi is a central district and municipality of Balıkesir in western Turkey, known for its role as an administrative and commercial hub of the province.
  • C. Kasari
    Kasari is a town located on Amami Ōshima in Japan’s Kagoshima Prefecture, known for its subtropical island scenery and coastal environment.
  • D. Sukošan
    Sukošan is a coastal village and popular tourist destination on the Adriatic Sea in Croatia, known for its marina and beaches near the city of Zadar.
  • E. Kopaska
    Kopaska is the Indonesian Navy’s elite frogman and special operations unit, specializing in underwater demolition, maritime sabotage, and counter-terrorism missions.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158dd00c819082651891898b91bb completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f690ae408190966bb4fe8feaa7d2 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6022ecf38819080f0eb6a3a815c5b completed May 2, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_69f606560934819092ba4d4fa162b799 completed May 2, 2026, 2:12 p.m.
Created at: April 8, 2026, 9:49 p.m.