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.