Triple
T12653775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vai language |
E302228
|
entity |
| Predicate | hasNeighborLanguage |
P16383
|
FINISHED |
| Object |
Gola language
Gola language is a Niger–Congo language spoken by the Gola people of Liberia and neighboring regions of West Africa.
|
E996627
|
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: Gola language | Statement: [Vai language, hasNeighborLanguage, Gola language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gola language Context triple: [Vai language, hasNeighborLanguage, Gola language]
-
A.
Gonja language
The Gonja language is a Gur language spoken primarily by the Gonja people in northern Ghana.
-
B.
Atinggola language
The Atinggola language is an Austronesian language of the Gorontalo–Mongondow group spoken by a small community in northern Sulawesi, Indonesia.
-
C.
Galela language
The Galela language is an Austronesian language spoken by the Galela people in northern Halmahera, Indonesia.
-
D.
Gurma language
Gurma language is a Gur language spoken primarily in parts of Burkina Faso, Togo, Benin, and neighboring West African countries.
-
E.
Adhola language
Adhola is a Western Nilotic language spoken primarily by the Jopadhola people of eastern Uganda, closely related to other Luo languages such as Lango.
- 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: Gola language Triple: [Vai language, hasNeighborLanguage, Gola language]
Generated description
Gola language is a Niger–Congo language spoken by the Gola people of Liberia and neighboring regions of West Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gola language Target entity description: Gola language is a Niger–Congo language spoken by the Gola people of Liberia and neighboring regions of West Africa.
-
A.
Gonja language
The Gonja language is a Gur language spoken primarily by the Gonja people in northern Ghana.
-
B.
Atinggola language
The Atinggola language is an Austronesian language of the Gorontalo–Mongondow group spoken by a small community in northern Sulawesi, Indonesia.
-
C.
Galela language
The Galela language is an Austronesian language spoken by the Galela people in northern Halmahera, Indonesia.
-
D.
Gurma language
Gurma language is a Gur language spoken primarily in parts of Burkina Faso, Togo, Benin, and neighboring West African countries.
-
E.
Adhola language
Adhola is a Western Nilotic language spoken primarily by the Jopadhola people of eastern Uganda, closely related to other Luo languages such as Lango.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96160730c81909e1aa3efb51bf159 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688104d48190939933b93b7e60cc |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f66c572f848190a8cad6311d3315a3 |
completed | May 2, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66cef79148190a052fb9ade3b0d27 |
completed | May 2, 2026, 9:30 p.m. |
Created at: April 9, 2026, 5:18 p.m.