Triple

T6996235
Position Surface form Disambiguated ID Type / Status
Subject Avikam language E162221 entity
Predicate hasAlternativeName P39 FINISHED
Object Avikam-Brignan
Avikam-Brignan is an alternate name for the Avikam language, a Kwa language spoken by the Avikam people of southern Côte d'Ivoire.
 E634472 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: Avikam-Brignan | Statement: [Avikam language, hasAlternativeName, Avikam-Brignan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Avikam-Brignan
Context triple: [Avikam language, hasAlternativeName, Avikam-Brignan]
  • A. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • B. Nachoragan
    Nachoragan was a Byzantine military commander known for leading imperial forces during the Lazic War in the 6th century.
  • C. Aviz
    Aviz is a historic town in Portugal known for giving its name to the Portuguese royal House of Aviz.
  • D. Raguil
    Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
  • E. Lumarzo
    Lumarzo is a small municipality in the Liguria region of northwestern Italy, located in the hilly inland area near Genoa.
  • 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: Avikam-Brignan
Triple: [Avikam language, hasAlternativeName, Avikam-Brignan]
Generated description
Avikam-Brignan is an alternate name for the Avikam language, a Kwa language spoken by the Avikam people of southern Côte d'Ivoire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Avikam-Brignan
Target entity description: Avikam-Brignan is an alternate name for the Avikam language, a Kwa language spoken by the Avikam people of southern Côte d'Ivoire.
  • A. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • B. Nachoragan
    Nachoragan was a Byzantine military commander known for leading imperial forces during the Lazic War in the 6th century.
  • C. Aviz
    Aviz is a historic town in Portugal known for giving its name to the Portuguese royal House of Aviz.
  • D. Raguil
    Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
  • E. Lumarzo
    Lumarzo is a small municipality in the Liguria region of northwestern Italy, located in the hilly inland area near Genoa.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbedafa48190af0d2b47e3a1e17e completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a1fa11481908450978acc1e0913 completed March 28, 2026, 5:41 a.m.
NEDg Description generation batch_69c76b84f5688190a0aef7cd8695c6b0 completed March 28, 2026, 5:47 a.m.
NED2 Entity disambiguation (via description) batch_69c76be95ecc8190a57ff197f236d434 completed March 28, 2026, 5:49 a.m.
Created at: March 27, 2026, 2:32 p.m.