Triple

T2942061
Position Surface form Disambiguated ID Type / Status
Subject Dečani Monastery E79408 entity
Predicate architect P184 FINISHED
Object Fra Vita
Fra Vita was a medieval architect best known for designing the Serbian Orthodox Dečani Monastery in Kosovo.
 E311400 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: Fra Vita | Statement: [Dečani Monastery, architect, Fra Vita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fra Vita
Context triple: [Dečani Monastery, architect, Fra Vita]
  • A. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • B. La Vie
    La Vie is a 1903 Blue Period painting by Pablo Picasso that portrays a somber, symbolic scene reflecting themes of poverty, despair, and existential struggle.
  • C. Viva
    Viva is a bus rapid transit service in York Region, Ontario, Canada, providing frequent, limited-stop public transportation along major corridors.
  • D. Viva
    Viva is a German music television channel that gained popularity in the 1990s and 2000s for its music videos, pop culture programming, and youth-oriented shows.
  • E. Viacha
    Viacha is a Bolivian city in the Altiplano region known for its industrial activity and proximity to La Paz.
  • 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: Fra Vita
Triple: [Dečani Monastery, architect, Fra Vita]
Generated description
Fra Vita was a medieval architect best known for designing the Serbian Orthodox Dečani Monastery in Kosovo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fra Vita
Target entity description: Fra Vita was a medieval architect best known for designing the Serbian Orthodox Dečani Monastery in Kosovo.
  • A. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • B. La Vie
    La Vie is a 1903 Blue Period painting by Pablo Picasso that portrays a somber, symbolic scene reflecting themes of poverty, despair, and existential struggle.
  • C. Viva
    Viva is a German music television channel that gained popularity in the 1990s and 2000s for its music videos, pop culture programming, and youth-oriented shows.
  • D. Viva
    Viva is a bus rapid transit service in York Region, Ontario, Canada, providing frequent, limited-stop public transportation along major corridors.
  • E. Viacha
    Viacha is a Bolivian city in the Altiplano region known for its industrial activity and proximity to La Paz.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9870e5d08190b3b277ba823fe6a1 completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b08689ec3481909d9f039069ff19c7 completed March 10, 2026, 9 p.m.
NEDg Description generation batch_69b0d241c7088190b440a47f4af54fbb completed March 11, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_69b0d6466e848190bea4215cc9d358c7 completed March 11, 2026, 2:41 a.m.
Created at: March 8, 2026, 2:56 p.m.