Triple
T21053524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guthrie Zone G40–G50 languages |
E518648
|
entity |
| Predicate | hasNotableLanguage |
P7390
|
FINISHED |
| Object | Segeju language |
—
|
NE NERFINISHED |
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: Segeju language | Statement: [Guthrie Zone G40–G50 languages, hasNotableLanguage, Segeju language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Segeju language Context triple: [Guthrie Zone G40–G50 languages, hasNotableLanguage, Segeju language]
-
A.
Segeju language
chosen
The Segeju language is a lesser-known Bantu language spoken by the Segeju people along the coastal regions of Kenya and Tanzania.
-
B.
Segai language
The Segai language is an Austronesian language spoken by the Segai people of Borneo, belonging to the Kayanic subgroup.
-
C.
Teguima language
The Teguima language is an extinct Uto-Aztecan language once spoken by the Opata people of northern Mexico.
-
D.
Datooga language
The Datooga language is a Southern Nilotic language spoken by the Datooga people of north-central Tanzania, known for its complex dialect diversity and rich oral tradition.
-
E.
Kwegu language
The Kwegu language is a Surmic language spoken by the small Kwegu ethnic group living along the Omo River in southwestern Ethiopia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd7e087c81908712ddc63e8b1e6c |
completed | April 21, 2026, 4:30 a.m. |
Created at: April 16, 2026, 2:36 p.m.