Triple
T5829429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Changana |
E129307
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Changana Tsonga |
E135269
|
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: Changana Tsonga | Statement: [Changana, hasAlternativeName, Changana Tsonga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Changana Tsonga Context triple: [Changana, hasAlternativeName, Changana Tsonga]
-
A.
Tsonga language
chosen
The Tsonga language is a Bantu language spoken primarily in southern Africa, especially in Mozambique, South Africa, Eswatini, and Zimbabwe.
-
B.
Sanglechi language
The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
-
C.
Tshivenda
Tshivenda is a Bantu language spoken primarily by the Venda people in northern South Africa and neighboring regions.
-
D.
Kikongo
Kikongo is a Bantu language widely spoken in Central Africa, particularly in the western regions of the Democratic Republic of the Congo and neighboring countries.
-
E.
Temne language
Temne is a major Niger-Congo language spoken primarily by the Temne people of Sierra Leone, where it has significantly shaped the country’s linguistic and cultural landscape.
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0346905848190a8f541401da05604 |
completed | March 22, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09866fd248190b4248a993051b732 |
completed | March 23, 2026, 1:33 a.m. |
Created at: March 22, 2026, 3:54 p.m.