Triple

T4159725
Position Surface form Disambiguated ID Type / Status
Subject Ossetian folk religion E91501 entity
Predicate hasDeity P5606 FINISHED
Object Donbettyr
Donbettyr is a deity in Ossetian folk religion, commonly associated with water, rivers, and aquatic realms.
 E417311 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: Donbettyr | Statement: [Ossetian folk religion, hasDeity, Donbettyr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Donbettyr
Context triple: [Ossetian folk religion, hasDeity, Donbettyr]
  • A. Le Tote
    Le Tote is a fashion rental subscription service company that expanded into traditional retail by acquiring the historic department store chain Lord & Taylor.
  • B. Judi
    Judi is the given name of acclaimed English actress Dame Judi Dench, renowned for her work in theatre, film, and television.
  • C. Mr. DOB
    Mr. DOB is Takashi Murakami’s iconic cartoon-like character and recurring motif that blends Japanese pop culture with fine art in his Superflat style.
  • D. Bonza
    Bonza is an Australian low-cost airline known for operating domestic routes that connect regional and leisure destinations.
  • E. Bets
    Bets is a young girl who serves as one of the child detectives in Enid Blyton’s “The Mystery Series,” contributing curiosity and insight to the group’s investigations.
  • 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: Donbettyr
Triple: [Ossetian folk religion, hasDeity, Donbettyr]
Generated description
Donbettyr is a deity in Ossetian folk religion, commonly associated with water, rivers, and aquatic realms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Donbettyr
Target entity description: Donbettyr is a deity in Ossetian folk religion, commonly associated with water, rivers, and aquatic realms.
  • A. Le Tote
    Le Tote is a fashion rental subscription service company that expanded into traditional retail by acquiring the historic department store chain Lord & Taylor.
  • B. Judi
    Judi is the given name of acclaimed English actress Dame Judi Dench, renowned for her work in theatre, film, and television.
  • C. Mr. DOB
    Mr. DOB is Takashi Murakami’s iconic cartoon-like character and recurring motif that blends Japanese pop culture with fine art in his Superflat style.
  • D. Bonza
    Bonza is an Australian low-cost airline known for operating domestic routes that connect regional and leisure destinations.
  • E. Bets
    Bets is a young girl who serves as one of the child detectives in Enid Blyton’s “The Mystery Series,” contributing curiosity and insight to the group’s investigations.
  • 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_69aed9626ebc8190a39de631788bea3e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af029454d08190b7ff32776081fabc completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f40678481908894ff315932a610 completed March 14, 2026, 3:31 p.m.
NEDg Description generation batch_69b57ff73cf88190b103db0694c1a923 completed March 14, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69b58094c690819080dbde068ff1b119 completed March 14, 2026, 3:36 p.m.
Created at: March 9, 2026, 3:44 p.m.