Triple
T22569905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahakiranti (proposed) |
E558050
|
entity |
| Predicate | includesLanguage |
P2177
|
FINISHED |
| Object | Wambule 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: Wambule language | Statement: [Mahakiranti (proposed), includesLanguage, Wambule language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wambule language Context triple: [Mahakiranti (proposed), includesLanguage, Wambule language]
-
A.
Wambule language
chosen
The Wambule language is a Kiranti Sino-Tibetan language spoken by the Wambule (Wambule Rai) people of eastern Nepal.
-
B.
Tembe language
The Tembe language is an indigenous Tupi-Guarani language spoken by the Tembé people of northern Brazil.
-
C.
Ngomba language
Ngomba is a Bamileke language spoken in western Cameroon, belonging to the Grassfields branch of the Southern Bantoid languages.
-
D.
Mwaghavul language
The Mwaghavul language is a West Chadic language spoken primarily in Plateau State, central Nigeria, by the Mwaghavul people.
-
E.
Teke-Ngungwel language
The Teke-Ngungwel language is a Bantu language spoken by the Teke people in Central Africa, particularly in parts of the Republic of the Congo and neighboring regions.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fad35448190b51a3dd639ca8568 |
completed | April 29, 2026, 1:32 a.m. |
Created at: April 16, 2026, 8:52 p.m.