Triple
T17193485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mende language |
E417285
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Sewa-Mende
Sewa-Mende is a regional dialect of the Mende language spoken primarily in parts of Sierra Leone.
|
E1255494
|
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: Sewa-Mende | Statement: [Mende language, hasDialects, Sewa-Mende]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sewa-Mende Context triple: [Mende language, hasDialects, Sewa-Mende]
-
A.
Gōṇḍī
Gōṇḍī is a South-Central Dravidian language spoken primarily by the Gondi people in central India.
-
B.
Moirang
Moirang is a historic town in Manipur, India, known for its cultural heritage and proximity to the famous Loktak Lake.
-
C.
Ga-Dangme
Ga-Dangme are an ethnic group of southeastern Ghana, historically known as coastal traders and fishermen with a rich cultural heritage and distinct Ga and Dangme language varieties.
-
D.
Bikhauti
Bikhauti is a traditional regional festival celebrated in the Garhwal area of Uttarakhand, India, marked by local religious rituals and community gatherings.
-
E.
Sonowal Kachari
The Sonowal Kachari are an indigenous ethnic community of Assam in Northeast India, historically associated with gold-washing and rich agrarian and cultural traditions.
- 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: Sewa-Mende Triple: [Mende language, hasDialects, Sewa-Mende]
Generated description
Sewa-Mende is a regional dialect of the Mende language spoken primarily in parts of Sierra Leone.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sewa-Mende Target entity description: Sewa-Mende is a regional dialect of the Mende language spoken primarily in parts of Sierra Leone.
-
A.
Gōṇḍī
Gōṇḍī is a South-Central Dravidian language spoken primarily by the Gondi people in central India.
-
B.
Moirang
Moirang is a historic town in Manipur, India, known for its cultural heritage and proximity to the famous Loktak Lake.
-
C.
Ga-Dangme
Ga-Dangme are an ethnic group of southeastern Ghana, historically known as coastal traders and fishermen with a rich cultural heritage and distinct Ga and Dangme language varieties.
-
D.
Bikhauti
Bikhauti is a traditional regional festival celebrated in the Garhwal area of Uttarakhand, India, marked by local religious rituals and community gatherings.
-
E.
Sonowal Kachari
The Sonowal Kachari are an indigenous ethnic community of Assam in Northeast India, historically associated with gold-washing and rich agrarian and cultural traditions.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42da93bf88190b60b658087779d36 |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fd393ac8190afc4c076b6cf60ba |
completed | May 11, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a016173b06081908fa80d2e530d6c2c |
completed | May 11, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0161d384f481909db41bc8c1d263a7 |
completed | May 11, 2026, 4:57 a.m. |
Created at: April 10, 2026, 5:38 a.m.