Triple
T7398478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kobo e-readers |
E170684
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object |
Kobo Nia
Kobo Nia is an entry-level Kobo e-reader designed for affordable, compact, and comfortable digital reading.
|
E661444
|
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: Kobo Nia | Statement: [Kobo e-readers, hasModel, Kobo Nia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kobo Nia Context triple: [Kobo e-readers, hasModel, Kobo Nia]
-
A.
Kwadèbouke
Kwadèbouke is the Haitian Creole name for Croix-des-Bouquets, a commune near Port-au-Prince in Haiti known for its vibrant metal art and cultural traditions.
-
B.
Kete
Kete is a traditional Akan dance and drum ensemble from Ghana, often performed at royal courts and important ceremonial occasions.
-
C.
Kete
Kete is a Bantu language spoken in Central Africa, associated with the Central Bantu subgroup.
-
D.
Nerekhta
Nerekhta is a historic Russian town known for its well-preserved traditional architecture and cultural heritage within Kostroma Oblast.
-
E.
Kola Bokinni
Kola Bokinni is a British actor best known for his role as AFC Richmond team captain Isaac McAdoo in the television series "Ted Lasso."
- 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: Kobo Nia Triple: [Kobo e-readers, hasModel, Kobo Nia]
Generated description
Kobo Nia is an entry-level Kobo e-reader designed for affordable, compact, and comfortable digital reading.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kobo Nia Target entity description: Kobo Nia is an entry-level Kobo e-reader designed for affordable, compact, and comfortable digital reading.
-
A.
Kwadèbouke
Kwadèbouke is the Haitian Creole name for Croix-des-Bouquets, a commune near Port-au-Prince in Haiti known for its vibrant metal art and cultural traditions.
-
B.
Kete
Kete is a traditional Akan dance and drum ensemble from Ghana, often performed at royal courts and important ceremonial occasions.
-
C.
Kete
Kete is a Bantu language spoken in Central Africa, associated with the Central Bantu subgroup.
-
D.
Nerekhta
Nerekhta is a historic Russian town known for its well-preserved traditional architecture and cultural heritage within Kostroma Oblast.
-
E.
Kola Bokinni
Kola Bokinni is a British actor best known for his role as AFC Richmond team captain Isaac McAdoo in the television series "Ted Lasso."
- 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_69c68a5f04188190ac266569c9280347 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f24c1c208190a3d11e816888760d |
completed | March 27, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81106c0788190a3740acf7bb4ab86 |
completed | March 28, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c811e0ebec8190b394b1a2ff6ac5bf |
completed | March 28, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8127599188190af3d049a0c6dd349 |
completed | March 28, 2026, 5:40 p.m. |
Created at: March 27, 2026, 3:09 p.m.