Triple
T14151918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silozi |
E350703
|
entity |
| Predicate | alternateName |
P39
|
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: [Silozi, alternateName, Lozi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lozi Context triple: [Silozi, alternateName, 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.
Lubaantun
Lubaantun is a Late Classic Maya archaeological site in southern Belize, known for its distinctive drystone construction and stepped pyramids.
-
C.
Dagomba
Dagomba refers to an ethnic group primarily found in northern Ghana, known for their rich cultural traditions, chieftaincy system, and use of the Dagbani language.
-
D.
Lugbara
Lugbara is a Central Sudanic language spoken primarily by the Lugbara people in northwestern Uganda and parts of the Democratic Republic of the Congo and South Sudan.
-
E.
Lokosi
Lokosi is the popular nickname of Croatian football club NK Lokomotiva Zagreb, used by its supporters and in local football culture.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6124e23481909e5132a40a1d8624 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd324772e4819092aef7826b39b144 |
completed | May 8, 2026, 12:45 a.m. |
Created at: April 10, 2026, 12:57 a.m.