Triple
T6120418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yao |
E136467
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object | Tanzania Yao |
E570025
|
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: Tanzania Yao | Statement: [Yao, hasDialects, Tanzania Yao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanzania Yao Context triple: [Yao, hasDialects, Tanzania Yao]
-
A.
Malawi Yao
chosen
Malawi Yao is a regional variety of the Yao language spoken primarily in Malawi, distinguished by its own phonological and lexical features.
-
B.
Luba
Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
-
C.
Luba
The Luba are a major Bantu-speaking ethnic group of Central Africa, historically known for the powerful Luba Kingdom centered in what is now the Democratic Republic of the Congo.
-
D.
Nyanja
Nyanja is a major Bantu language spoken primarily in Malawi, Zambia, Mozambique, and Zimbabwe, known for serving as a lingua franca in parts of southern Africa.
-
E.
Kaonde
Kaonde is a Bantu language spoken primarily by the Kaonde people of northwestern Zambia and parts of the Democratic Republic of the Congo.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bef8dc08190b917ad7209188c62 |
completed | March 22, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141619c148190b0fb94e2b1458510 |
completed | March 23, 2026, 1:34 p.m. |
Created at: March 22, 2026, 4:14 p.m.