Triple
T2293018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Livingstone |
E51546
|
entity |
| Predicate | languageSpoken |
P151
|
FINISHED |
| Object | Lozi |
E50731
|
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: Lozi | Statement: [Livingstone, languageSpoken, Lozi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lozi Context triple: [Livingstone, languageSpoken, Lozi]
-
A.
Lozi
chosen
Lozi is a Bantu language spoken primarily by the Lozi people in western Zambia and surrounding regions of southern Africa.
-
B.
Luba
Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
-
C.
Ngoni
Ngoni is a Bantu language spoken by the Ngoni people of parts of Malawi, Tanzania, Mozambique, and Zambia, reflecting historical migrations from the Zulu region.
-
D.
Murambi
Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
-
E.
Sanglechi
Sanglechi is a lesser-known Eastern Iranian language spoken in parts of northeastern Afghanistan and adjacent regions.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5d90d988190b3253b54e5bb5530 |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae8952322c81909d58b89139f51a27 |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:48 p.m.