Triple
T14151939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silozi |
E350703
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | Luyana |
E252594
|
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: Luyana | Statement: [Silozi, influencedBy, Luyana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luyana Context triple: [Silozi, influencedBy, Luyana]
-
A.
Luyana
chosen
Luyana is a Bantu language of southwestern Africa that historically served as a prestige and source language for the development of the Lozi language.
-
B.
Mirafra
Mirafra is a genus of small, ground-dwelling larks known for their cryptic plumage and elaborate song displays, found mainly in Africa and parts of Asia.
-
C.
Lalan
Lalan was a Chinese-born French painter, composer, and dancer known for her abstract, lyrical works and her close association with the postwar Paris art scene.
-
D.
Nayapala
Nayapala was a ruler of the Pala dynasty in eastern India, known for consolidating Pala power in Bengal and Bihar during the 11th century.
-
E.
Luyanó
Luyanó is a traditional working-class neighborhood in Havana, Cuba, known for its dense urban fabric and vibrant local 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_69fcf7ea34408190830263d7f5a88ce9 |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 10, 2026, 12:57 a.m.