Triple

T12958806
Position Surface form Disambiguated ID Type / Status
Subject Shadow and Bone (TV series) E310083 entity
Predicate setting P1957 FINISHED
Object Ravka
Ravka is a fictional, war-torn, magic-infused kingdom in Leigh Bardugo’s Grishaverse, prominently featured in the Shadow and Bone series.
E1013791 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: Ravka | Statement: [Shadow and Bone (TV series), setting, Ravka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ravka
Context triple: [Shadow and Bone (TV series), setting, Ravka]
  • A. Rykove
    Rykove is a former name of the industrial city now known as Yenakiieve in eastern Ukraine.
  • B. Nova Odessa
    Nova Odessa is a municipality in the state of São Paulo, Brazil, known for its industrial activity and integration into the Campinas metropolitan region.
  • C. Odoyev
    Odoyev is a historic town in Tula Oblast, Russia, known as an old regional center with roots dating back to medieval Rus.
  • D. Aezani
    Aezani was an ancient Phrygian city in modern-day Turkey, notable for its well-preserved Roman ruins including a major temple to Zeus and other public buildings.
  • E. Yedina
    Yedina is an ethnic group living around Lake Chad, particularly on its islands and shores, known for their fishing and pastoralist lifestyle.
  • 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: Ravka
Triple: [Shadow and Bone (TV series), setting, Ravka]
Generated description
Ravka is a fictional, war-torn, magic-infused kingdom in Leigh Bardugo’s Grishaverse, prominently featured in the Shadow and Bone series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ravka
Target entity description: Ravka is a fictional, war-torn, magic-infused kingdom in Leigh Bardugo’s Grishaverse, prominently featured in the Shadow and Bone series.
  • A. Rykove
    Rykove is a former name of the industrial city now known as Yenakiieve in eastern Ukraine.
  • B. Nova Odessa
    Nova Odessa is a municipality in the state of São Paulo, Brazil, known for its industrial activity and integration into the Campinas metropolitan region.
  • C. Odoyev
    Odoyev is a historic town in Tula Oblast, Russia, known as an old regional center with roots dating back to medieval Rus.
  • D. Aezani
    Aezani was an ancient Phrygian city in modern-day Turkey, notable for its well-preserved Roman ruins including a major temple to Zeus and other public buildings.
  • E. Yedina
    Yedina is an ethnic group living around Lake Chad, particularly on its islands and shores, known for their fishing and pastoralist lifestyle.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2e44908190bb8b43fc5c3b8a8a completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8dddd80819094c80ef405024419 completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6ba0904e8819098bae29961bf0046 completed May 3, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb7a0ae08190813411fa677430aa completed May 3, 2026, 3:05 a.m.
Created at: April 9, 2026, 5:44 p.m.