Triple
T13038189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirinyaga |
E326618
|
entity |
| Predicate | alsoSpelled |
P5330
|
FINISHED |
| Object |
Kĩrĩnyaga
Kĩrĩnyaga is a Kenyan county named after Mount Kenya, known for its fertile agricultural land and rich Kikuyu cultural heritage.
|
E1018690
|
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: Kĩrĩnyaga | Statement: [Kirinyaga, alsoSpelled, Kĩrĩnyaga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kĩrĩnyaga Context triple: [Kirinyaga, alsoSpelled, Kĩrĩnyaga]
-
A.
Kanyaga
"Kanyaga" is a popular Tanzanian Bongo Flava hit song by Diamond Platnumz known for its energetic beat and danceable style.
-
B.
Nyazura
Nyazura is a small town in eastern Zimbabwe situated along the main road and railway linking Harare and Mutare.
-
C.
Cinyanja
Cinyanja is a Bantu language spoken primarily in Malawi, Zambia, Mozambique, and Zimbabwe, where it serves as an important lingua franca in parts of southern Africa.
-
D.
Nabulungi
Nabulungi is a central character in the musical "The Book of Mormon," a hopeful and idealistic young Ugandan woman who becomes a key follower of the missionaries’ teachings.
-
E.
Nyamira
Nyamira is a town in western Kenya that serves as an administrative and commercial center in the former Nyanza region.
- 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: Kĩrĩnyaga Triple: [Kirinyaga, alsoSpelled, Kĩrĩnyaga]
Generated description
Kĩrĩnyaga is a Kenyan county named after Mount Kenya, known for its fertile agricultural land and rich Kikuyu cultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kĩrĩnyaga Target entity description: Kĩrĩnyaga is a Kenyan county named after Mount Kenya, known for its fertile agricultural land and rich Kikuyu cultural heritage.
-
A.
Kanyaga
"Kanyaga" is a popular Tanzanian Bongo Flava hit song by Diamond Platnumz known for its energetic beat and danceable style.
-
B.
Nyazura
Nyazura is a small town in eastern Zimbabwe situated along the main road and railway linking Harare and Mutare.
-
C.
Cinyanja
Cinyanja is a Bantu language spoken primarily in Malawi, Zambia, Mozambique, and Zimbabwe, where it serves as an important lingua franca in parts of southern Africa.
-
D.
Nabulungi
Nabulungi is a central character in the musical "The Book of Mormon," a hopeful and idealistic young Ugandan woman who becomes a key follower of the missionaries’ teachings.
-
E.
Nyamira
Nyamira is a town in western Kenya that serves as an administrative and commercial center in the former Nyanza region.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9804b743c8190810dc5c14bc6d912 |
completed | April 10, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbd12eec81908ad5dae638c2210e |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6cdc285788190a05a51295306f087 |
completed | May 3, 2026, 4:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ceafcca88190bcd65be3c4440987 |
completed | May 3, 2026, 4:27 a.m. |
Created at: April 9, 2026, 8:55 p.m.