Triple
T11303282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gonja language |
E267649
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object |
Guang Gonja
Guang Gonja is an alternate name for the Gonja language, a Guang language spoken primarily in northern Ghana.
|
E916976
|
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: Guang Gonja | Statement: [Gonja language, alternateName, Guang Gonja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guang Gonja Context triple: [Gonja language, alternateName, Guang Gonja]
-
A.
Djao
Djao is an alternative name for the Yao, an ethnic group found primarily in parts of China and Southeast Africa, known for their distinct cultural traditions and languages.
-
B.
Beni Isguen
Beni Isguen is a historic fortified town in Algeria renowned for its well-preserved traditional Mozabite architecture and strict social and religious customs.
-
C.
Hoan-ya
Hoan-ya is an alternative name for the Hoanya language, an indigenous Formosan language historically spoken in Taiwan.
-
D.
Bauta
Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
-
E.
Guan
Guan is a common Chinese surname with historical roots and multiple romanized variants, including Kwan.
- 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: Guang Gonja Triple: [Gonja language, alternateName, Guang Gonja]
Generated description
Guang Gonja is an alternate name for the Gonja language, a Guang language spoken primarily in northern Ghana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guang Gonja Target entity description: Guang Gonja is an alternate name for the Gonja language, a Guang language spoken primarily in northern Ghana.
-
A.
Djao
Djao is an alternative name for the Yao, an ethnic group found primarily in parts of China and Southeast Africa, known for their distinct cultural traditions and languages.
-
B.
Beni Isguen
Beni Isguen is a historic fortified town in Algeria renowned for its well-preserved traditional Mozabite architecture and strict social and religious customs.
-
C.
Hoan-ya
Hoan-ya is an alternative name for the Hoanya language, an indigenous Formosan language historically spoken in Taiwan.
-
D.
Bauta
Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
-
E.
Guan
Guan is a common Chinese surname with historical roots and multiple romanized variants, including Kwan.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a5c3788190ba54eda514b97903 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a57366081908a05fc52c5d4074c |
completed | April 19, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69e510f9edb4819097e9fa1ce85504ed |
completed | April 19, 2026, 5:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e516bec3e481909cbd0d9c683d2191 |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 8, 2026, 9:32 p.m.