Triple
T10490238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ateso |
E247396
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Teso language |
E49228
|
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: Teso language | Statement: [Ateso, hasAlternativeName, Teso language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teso language Context triple: [Ateso, hasAlternativeName, Teso language]
-
A.
Teso language
chosen
Teso language is an Eastern Nilotic language spoken primarily by the Iteso people in eastern Uganda and western Kenya.
-
B.
Tehueco language
The Tehueco language is an extinct indigenous language of northern Mexico that belonged to the Taracahitic branch of the Uto-Aztecan language family.
-
C.
Toposa language
The Toposa language is an Eastern Nilotic language spoken primarily by the Toposa people of South Sudan and neighboring regions.
-
D.
Tonsea language
Tonsea is an Austronesian language spoken by the Tonsea people of North Sulawesi, Indonesia, and is one of the traditional Minahasan languages of the region.
-
E.
Teke-Kukuya language
The Teke-Kukuya language is a Bantu language spoken by the Teke-Kukuya people in the Republic of the Congo and neighboring regions of Central Africa.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097d61e08190952d4354ef1bce52 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d933c5caa08190a5fba92ebf4b0ff9 |
completed | April 10, 2026, 5:30 p.m. |
Created at: April 6, 2026, 12:23 p.m.