Triple
T12969172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volta–Niger languages |
E321347
|
entity |
| Predicate | containsLanguage |
P2177
|
FINISHED |
| Object | Ukaan |
E960811
|
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: Ukaan | Statement: [Volta–Niger languages, containsLanguage, Ukaan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ukaan Context triple: [Volta–Niger languages, containsLanguage, Ukaan]
-
A.
Ukaan
chosen
Ukaan is a little-documented Niger-Congo language spoken by a small community in southwestern Nigeria.
-
B.
Ushba
Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
-
C.
Urakhi
Urakhi is a dialect of the Dargin language spoken by a subset of the Dargin people in the North Caucasus region of Russia.
-
D.
Ubakala
Ubakala is a town in Abia State, southeastern Nigeria, serving as the administrative center of the Umuahia South Local Government Area.
-
E.
Ukiha
Ukiha is a small city in southwestern Japan known for its rural landscapes, fruit orchards, and traditional townscapes.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e407e5081909424fc0c22483c28 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0f4798c8190861638c699e98045 |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 8:33 p.m.