Triple
T9793769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyanza region |
E237667
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object |
Ekegusii
Ekegusii is a Bantu language spoken primarily by the Abagusii people of western Kenya.
|
E820926
|
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: Ekegusii | Statement: [Nyanza region, hasLanguage, Ekegusii]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ekegusii Context triple: [Nyanza region, hasLanguage, Ekegusii]
-
A.
Akita
Akita is a city in Japan’s Tōhoku region, serving as the capital of Akita Prefecture and known for its port, rice production, and traditional festivals.
-
B.
Akita
Akita is a large, powerful Japanese dog breed known for its loyalty, dignity, and strong protective instincts.
-
C.
Ebisu
Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
-
D.
Havu
Havu are a Bantu-speaking ethnic group primarily inhabiting the Lake Kivu region of eastern Democratic Republic of the Congo, known for their farming, fishing, and rich cultural traditions.
-
E.
Kotek
Kotek is the surname of Tina Kotek, an American politician who has served as Governor of Oregon and previously as Speaker of the Oregon House of Representatives.
- 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: Ekegusii Triple: [Nyanza region, hasLanguage, Ekegusii]
Generated description
Ekegusii is a Bantu language spoken primarily by the Abagusii people of western Kenya.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ekegusii Target entity description: Ekegusii is a Bantu language spoken primarily by the Abagusii people of western Kenya.
-
A.
Akita
Akita is a city in Japan’s Tōhoku region, serving as the capital of Akita Prefecture and known for its port, rice production, and traditional festivals.
-
B.
Akita
Akita is a large, powerful Japanese dog breed known for its loyalty, dignity, and strong protective instincts.
-
C.
Ebisu
Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
-
D.
Havu
Havu are a Bantu-speaking ethnic group primarily inhabiting the Lake Kivu region of eastern Democratic Republic of the Congo, known for their farming, fishing, and rich cultural traditions.
-
E.
Kotek
Kotek is the surname of Tina Kotek, an American politician who has served as Governor of Oregon and previously as Speaker of the Oregon House of Representatives.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda347b6bc8190a99b7dec1650cd46 |
completed | April 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c4368da88190a70e93ec4d6bef93 |
completed | April 5, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_69d1c4a087208190b81ae9d40de08ab9 |
completed | April 5, 2026, 2:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c4fe71308190ac08e30c98611ed6 |
completed | April 5, 2026, 2:12 a.m. |
Created at: March 30, 2026, 8:28 p.m.