Triple
T12653716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kpelle |
E302227
|
entity |
| Predicate | hasNativeName |
P1435
|
FINISHED |
| Object |
Kpɛlɛ
Kpɛlɛ is the endonym for the Kpelle language spoken by the Kpelle people of Liberia and Guinea.
|
E996622
|
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: Kpɛlɛ | Statement: [Kpelle, hasNativeName, Kpɛlɛ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kpɛlɛ Context triple: [Kpelle, hasNativeName, Kpɛlɛ]
-
A.
Kete Krachi
Kete Krachi is a town in the Oti Region of Ghana that serves as an important lakeside community and transport hub on the shores of Lake Volta.
-
B.
Madoqua
Madoqua is a genus of small African antelopes commonly known as dik-diks, characterized by their diminutive size, elongated snouts, and monogamous pair bonds.
-
C.
Bamiléké
The Bamiléké are a major Central African ethnic group of Cameroon known for their rich cultural traditions, entrepreneurial spirit, and densely populated chiefdoms in the country’s western highlands.
-
D.
Nanumba
The Nanumba are an ethnic group in northern Ghana known for their distinct language, chieftaincy traditions, and agrarian lifestyle.
-
E.
Ngola
Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
- 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: Kpɛlɛ Triple: [Kpelle, hasNativeName, Kpɛlɛ]
Generated description
Kpɛlɛ is the endonym for the Kpelle language spoken by the Kpelle people of Liberia and Guinea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kpɛlɛ Target entity description: Kpɛlɛ is the endonym for the Kpelle language spoken by the Kpelle people of Liberia and Guinea.
-
A.
Kete Krachi
Kete Krachi is a town in the Oti Region of Ghana that serves as an important lakeside community and transport hub on the shores of Lake Volta.
-
B.
Madoqua
Madoqua is a genus of small African antelopes commonly known as dik-diks, characterized by their diminutive size, elongated snouts, and monogamous pair bonds.
-
C.
Bamiléké
The Bamiléké are a major Central African ethnic group of Cameroon known for their rich cultural traditions, entrepreneurial spirit, and densely populated chiefdoms in the country’s western highlands.
-
D.
Nanumba
The Nanumba are an ethnic group in northern Ghana known for their distinct language, chieftaincy traditions, and agrarian lifestyle.
-
E.
Ngola
Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
- 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.