Triple

T19471820
Position Surface form Disambiguated ID Type / Status
Subject Avar language E487139 entity
Predicate hasAlternativeName P39 FINISHED
Object Avaric
Avaric is a Northeast Caucasian language spoken primarily by the Avar people in the Russian republic of Dagestan.
E1378243 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: Avaric | Statement: [Avar language, hasAlternativeName, Avaric]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avaric
Context triple: [Avar language, hasAlternativeName, Avaric]
  • A. Avaran
    Avaran is the family name of Eleazar Avaran, a Jewish warrior noted for his role in the Maccabean revolt against the Seleucid Empire.
  • B. Arvegil
    Arvegil is a fictional Dúnedain king of Arnor in J.R.R. Tolkien’s legendarium, descended from Isildur.
  • C. Aventinus
    Aventinus is the Latin name for the Aventine Hill, one of the seven hills of ancient Rome historically associated with plebeian settlement and several important temples.
  • D. Avarua
    Avarua is the main town and administrative, commercial, and cultural center of the Cook Islands, located on the north coast of Rarotonga.
  • E. Aulnat
    Aulnat is a commune in central France situated in the Puy-de-Dôme department within the Auvergne region.
  • 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: Avaric
Triple: [Avar language, hasAlternativeName, Avaric]
Generated description
Avaric is a Northeast Caucasian language spoken primarily by the Avar people in the Russian republic of Dagestan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Avaric
Target entity description: Avaric is a Northeast Caucasian language spoken primarily by the Avar people in the Russian republic of Dagestan.
  • A. Avaran
    Avaran is the family name of Eleazar Avaran, a Jewish warrior noted for his role in the Maccabean revolt against the Seleucid Empire.
  • B. Arvegil
    Arvegil is a fictional Dúnedain king of Arnor in J.R.R. Tolkien’s legendarium, descended from Isildur.
  • C. Aventinus
    Aventinus is the Latin name for the Aventine Hill, one of the seven hills of ancient Rome historically associated with plebeian settlement and several important temples.
  • D. Avarua
    Avarua is the main town and administrative, commercial, and cultural center of the Cook Islands, located on the north coast of Rarotonga.
  • E. Aulnat
    Aulnat is a commune in central France situated in the Puy-de-Dôme department within the Auvergne region.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e8d9188190a4939f03bad89add completed April 20, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07404fd4348190bc2efbebc7828716 completed May 15, 2026, 3:48 p.m.
NEDg Description generation batch_6a074155addc8190a80e37d8f9d537a8 completed May 15, 2026, 3:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0741e454a48190ac03aa458ca2b3b3 completed May 15, 2026, 3:55 p.m.
Created at: April 10, 2026, 1:39 p.m.