Triple
T11596214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lusoga |
E275006
|
entity |
| Predicate | hasNeighborLanguage |
P16383
|
FINISHED |
| Object | Lunyole |
E935944
|
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: Lunyole | Statement: [Lusoga, hasNeighborLanguage, Lunyole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lunyole Context triple: [Lusoga, hasNeighborLanguage, Lunyole]
-
A.
Lunyole
chosen
Lunyole is a Bantu language spoken in eastern Uganda, particularly associated with the Banyole people.
-
B.
Biloela
Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
-
C.
Lamboya
Lamboya is an Austronesian language spoken by the Lamboya people on the island of Sumba in eastern Indonesia.
-
D.
Luhya
The Luhya are a major Bantu-speaking ethnic group primarily inhabiting western Kenya, known for their rich cultural traditions and agricultural heritage.
-
E.
Lefua
Lefua is a genus of small freshwater loaches native to East Asia, known for inhabiting cool, clear streams and belonging to the stone loach family.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8946790d08190924d60bb4b523250 |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee86f246848190a5b020c3e05d02dd |
completed | April 26, 2026, 9:43 p.m. |
Created at: April 8, 2026, 9:38 p.m.