Triple

T1848446
Position Surface form Disambiguated ID Type / Status
Subject Varvara E41336 entity
Predicate shortForm P43 FINISHED
Object Vara
Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
 E208480 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: Vara | Statement: [Varvara, shortForm, Vara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vara
Context triple: [Varvara, shortForm, Vara]
  • A. Varaha
    Varaha is the boar incarnation of the Hindu god Vishnu, revered for rescuing the earth from cosmic waters and defeating the demon Hiranyaksha.
  • B. Varhadi
    Varhadi is a regional dialect of Marathi spoken primarily in the Vidarbha region of Maharashtra, India, known for its distinct phonetic and lexical features.
  • C. Vivarais
    Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
  • D. Velkua
    Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
  • E. Valbo
    Valbo is a locality in Gävleborg County, Sweden, known as the hometown of NHL ice hockey star Nicklas Bäckström.
  • 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: Vara
Triple: [Varvara, shortForm, Vara]
Generated description
Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vara
Target entity description: Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
  • A. Varaha
    Varaha is the boar incarnation of the Hindu god Vishnu, revered for rescuing the earth from cosmic waters and defeating the demon Hiranyaksha.
  • B. Varhadi
    Varhadi is a regional dialect of Marathi spoken primarily in the Vidarbha region of Maharashtra, India, known for its distinct phonetic and lexical features.
  • C. Vivarais
    Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
  • D. Velkua
    Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
  • E. Valbo
    Valbo is a locality in Gävleborg County, Sweden, known as the hometown of NHL ice hockey star Nicklas Bäckström.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb05412a08190855ea453d1264ea3 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1c6941081909cef987ebe4b4d6c completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add28a8f848190bf6ea0924e7dd9fc completed March 8, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_69add37ad9a481908b2a1476a8d33091 completed March 8, 2026, 7:52 p.m.
Created at: March 4, 2026, 7:33 p.m.