Triple

T1340489
Position Surface form Disambiguated ID Type / Status
Subject Kwa languages E28451 entity
Predicate hasSubgroup P747 FINISHED
Object Ga language
The Ga language is a Niger-Congo language spoken primarily by the Ga people in and around Accra, the capital of Ghana.
E155048 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: Ga language | Statement: [Kwa languages, hasSubgroup, Ga language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ga language
Context triple: [Kwa languages, hasSubgroup, Ga language]
  • A. Uma language
    Uma is an Austronesian language of the Celebic subgroup spoken primarily in Central Sulawesi, Indonesia.
  • B. Sabine language
    The Sabine language was an extinct Italic tongue once spoken by the ancient Sabine people of central Italy, closely related to other Osco-Umbrian languages.
  • C. Guna language
    Guna language is an indigenous Chibchan language spoken by the Guna people of Panama and Colombia.
  • D. Limba
    The Limba are one of the largest and oldest indigenous ethnic groups in Sierra Leone, known for their distinct language, cultural traditions, and historical role in the country’s northern regions.
  • 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: Ga language
Triple: [Kwa languages, hasSubgroup, Ga language]
Generated description
The Ga language is a Niger-Congo language spoken primarily by the Ga people in and around Accra, the capital of Ghana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ga language
Target entity description: The Ga language is a Niger-Congo language spoken primarily by the Ga people in and around Accra, the capital of Ghana.
  • A. 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.
  • B. Gallo language
    Gallo language is a regional Romance language of eastern Brittany in France, distinct from both Breton and standard French.
  • C. Uma language
    Uma is an Austronesian language of the Celebic subgroup spoken primarily in Central Sulawesi, Indonesia.
  • D. Sabine language
    The Sabine language was an extinct Italic tongue once spoken by the ancient Sabine people of central Italy, closely related to other Osco-Umbrian languages.
  • E. Guna language
    Guna language is an indigenous Chibchan language spoken by the Guna people of Panama and Colombia.
  • 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_69acc6305c988190830dd535726c6338 completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc91793688190a223365d50498cc7 completed March 8, 2026, 12:55 a.m.
NED2 Entity disambiguation (via description) batch_69acc9b8c86c8190bc3526b85604884d completed March 8, 2026, 12:58 a.m.
Created at: March 1, 2026, 7:56 p.m.