Triple
T8809282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabiye |
E209614
|
entity |
| Predicate | altName |
P39
|
FINISHED |
| Object | Kabiyé |
E759512
|
NE FINISHED |
How this triple was built (2 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: Kabiyé | Statement: [Kabiye, altName, Kabiyé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kabiyé Context triple: [Kabiye, altName, Kabiyé]
-
A.
Korandjé
Korandjé is a highly endangered Northern Songhay language spoken in the oasis town of Tabelbala in southwestern Algeria.
-
B.
Duékoué
Duékoué is a town in western Côte d'Ivoire that became notorious as a major site of violence and massacres during the country's civil conflicts.
-
C.
Koné
Koné is a principal town and administrative center on New Caledonia’s main island, Grande Terre.
-
D.
Kabye
chosen
Kabye is a Gur language spoken primarily in northern Togo and parts of neighboring West African countries by the Kabye people.
-
E.
Ayoreo
The Ayoreo are an Indigenous people of the Gran Chaco region of Bolivia and Paraguay, known for their traditional semi-nomadic lifestyle and some groups’ continued voluntary isolation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8363f3308190a47e3f1ebd51f613 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fd4cbec8190a929d4e60da8ad65 |
completed | March 31, 2026, 11:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf892b813481909739f72ffd080f49 |
completed | April 3, 2026, 9:32 a.m. |
Created at: March 30, 2026, 6:45 p.m.