Triple
T1054965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African Portuguese |
E22780
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | Umbundu |
E71693
|
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: Umbundu | Statement: [African Portuguese, influencedBy, Umbundu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umbundu Context triple: [African Portuguese, influencedBy, Umbundu]
-
A.
Umbundu
chosen
Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
-
B.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
-
C.
Murambi
Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
-
D.
Ikemba Iweala
Ikemba Iweala is a Nigerian neurosurgeon and the husband of economist and World Trade Organization Director-General Ngozi Okonjo-Iweala.
-
E.
Mabalako
Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d79268819080f3f3f497e91c58 |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bd110ac8190b66163de42bd3034 |
completed | March 7, 2026, 2:53 p.m. |
Created at: March 1, 2026, 7:42 p.m.