Triple

T1340495
Position Surface form Disambiguated ID Type / Status
Subject Kwa languages E28451 entity
Predicate hasSubgroup P747 FINISHED
Object Avikam language
The Avikam language is a Kwa language spoken by the Avikam people of southern Côte d'Ivoire.
 E162221 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 language | Statement: [Kwa languages, hasSubgroup, Avikam language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Avikam language
Context triple: [Kwa languages, hasSubgroup, Avikam language]
  • A. Ashkun language
    The Ashkun language is a Nuristani language spoken by the Ashkun people in remote regions of eastern Afghanistan.
  • B. Hoanya language
    The Hoanya language is an extinct Austronesian language once spoken by the Hoanya people of western Taiwan and classified among the indigenous Formosan languages.
  • C. Eonavian language
    Eonavian language is a Romance language variety spoken in the western coastal region of Asturias, Spain, sharing features with both Galician and Asturian.
  • D. Kamviri language
    The Kamviri language is a Nuristani language spoken primarily by the Kam people in parts of eastern Afghanistan and neighboring regions of Pakistan.
  • E. Hadza language
    The Hadza language is an isolate spoken by the Hadza people of northern Tanzania, notable for its extensive use of click consonants and lack of clear genetic affiliation to other language families.
  • 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 language
Triple: [Kwa languages, hasSubgroup, Avikam language]
Generated description
The Avikam language is 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 language
Target entity description: The Avikam language is a Kwa language spoken by the Avikam people of southern Côte d'Ivoire.
  • A. Ashkun language
    The Ashkun language is a Nuristani language spoken by the Ashkun people in remote regions of eastern Afghanistan.
  • B. Hoanya language
    The Hoanya language is an extinct Austronesian language once spoken by the Hoanya people of western Taiwan and classified among the indigenous Formosan languages.
  • C. Eonavian language
    Eonavian language is a Romance language variety spoken in the western coastal region of Asturias, Spain, sharing features with both Galician and Asturian.
  • D. Kamviri language
    The Kamviri language is a Nuristani language spoken primarily by the Kam people in parts of eastern Afghanistan and neighboring regions of Pakistan.
  • E. Hadza language
    The Hadza language is an isolate spoken by the Hadza people of northern Tanzania, notable for its extensive use of click consonants and lack of clear genetic affiliation to other language families.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c21490488190b4281a16c87677d1 completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace56298708190819518926b2b608f completed March 8, 2026, 2:56 a.m.
NEDg Description generation batch_69ace639296881909dc3fe52720d120d completed March 8, 2026, 3 a.m.
NED2 Entity disambiguation (via description) batch_69ace7730cf08190a4e0329be205da3f completed March 8, 2026, 3:05 a.m.
Created at: March 1, 2026, 7:56 p.m.