Triple
T7161894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Bantu |
E166965
|
entity |
| Predicate | hasMajorLanguage |
P207
|
FINISHED |
| Object |
Kuba
Kuba is a Bantu language spoken by the Kuba people of Central Africa, known for its rich oral traditions and cultural heritage.
|
E645174
|
NE FINISHED |
How this triple was built (4 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: Kuba | Statement: [Central Bantu, hasMajorLanguage, Kuba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuba Context triple: [Central Bantu, hasMajorLanguage, Kuba]
-
A.
Krain
Krain is the historical German name for the Duchy of Carniola, a former Habsburg crown land located in what is now largely central Slovenia.
-
B.
Kania
Kania is a surname of Polish origin borne by various notable individuals in fields such as law, politics, and the arts.
-
C.
Yibir
Yibir is a British-bred Thoroughbred racehorse best known for winning major international turf races, including the 2021 Breeders’ Cup Turf.
-
D.
Negara
Negara is a town in western Bali, Indonesia, known as an administrative and commercial center in the Jembrana Regency.
-
E.
Hollandia
Hollandia was a major World War II Allied military base and logistical hub in New Guinea, used as a key staging area for operations in the South West Pacific.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kuba Triple: [Central Bantu, hasMajorLanguage, Kuba]
Generated description
Kuba is a Bantu language spoken by the Kuba people of Central Africa, known for its rich oral traditions and cultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kuba Target entity description: Kuba is a Bantu language spoken by the Kuba people of Central Africa, known for its rich oral traditions and cultural heritage.
-
A.
Krain
Krain is the historical German name for the Duchy of Carniola, a former Habsburg crown land located in what is now largely central Slovenia.
-
B.
Kania
Kania is a surname of Polish origin borne by various notable individuals in fields such as law, politics, and the arts.
-
C.
Yibir
Yibir is a British-bred Thoroughbred racehorse best known for winning major international turf races, including the 2021 Breeders’ Cup Turf.
-
D.
Negara
Negara is a town in western Bali, Indonesia, known as an administrative and commercial center in the Jembrana Regency.
-
E.
Hollandia
Hollandia was a major World War II Allied military base and logistical hub in New Guinea, used as a key staging area for operations in the South West Pacific.
- F. None of above. chosen
Provenance (5 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e82e4b248190ad3c3863cb93971e |
completed | March 27, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adc4b7648190969fab0351f9fd22 |
completed | March 28, 2026, 10:30 a.m. |
| NEDg | Description generation | batch_69c7ae44e0d48190818b193e03aba6a4 |
completed | March 28, 2026, 10:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7aeb68c3481909c6dff8ee51349ab |
completed | March 28, 2026, 10:34 a.m. |
Created at: March 27, 2026, 2:47 p.m.