Triple
T542961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuna language |
E12670
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Guna language
Guna language is an indigenous Chibchan language spoken by the Guna people of Panama and Colombia.
|
E68751
|
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: Guna language | Statement: [Kuna language, alternativeName, Guna language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guna language Context triple: [Kuna language, alternativeName, Guna language]
-
A.
Ndyuka language
The Ndyuka language is an English-based creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
-
B.
Nupe language
The Nupe language is a Niger-Congo language spoken primarily by the Nupe people in central Nigeria, especially in the Middle Belt region.
-
C.
Yola language
The Yola language was an extinct West Germanic language once spoken in County Wexford, Ireland, that preserved many archaic features derived from early English settlers.
-
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.
Berom language
The Berom language is a Plateau language spoken primarily by the Berom people in Nigeria’s Middle Belt region, especially around Jos in Plateau State.
- 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: Guna language Triple: [Kuna language, alternativeName, Guna language]
Generated description
Guna language is an indigenous Chibchan language spoken by the Guna people of Panama and Colombia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guna language Target entity description: Guna language is an indigenous Chibchan language spoken by the Guna people of Panama and Colombia.
-
A.
Ndyuka language
The Ndyuka language is an English-based creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
-
B.
Nupe language
The Nupe language is a Niger-Congo language spoken primarily by the Nupe people in central Nigeria, especially in the Middle Belt region.
-
C.
Yola language
The Yola language was an extinct West Germanic language once spoken in County Wexford, Ireland, that preserved many archaic features derived from early English settlers.
-
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.
Berom language
The Berom language is a Plateau language spoken primarily by the Berom people in Nigeria’s Middle Belt region, especially around Jos in Plateau State.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4986250508190ac91cfdf7d57073d |
completed | March 1, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e02ab7dc819092a210eb0fcd59f4 |
completed | March 2, 2026, 12:56 a.m. |
| NEDg | Description generation | batch_69a4e124306c8190bce165e684507553 |
completed | March 2, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4e1e73b0c8190b4f050f76f8e58de |
completed | March 2, 2026, 1:03 a.m. |
Created at: March 1, 2026, 7:32 p.m.