Triple
T9034918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nairobi Metropolitan Region |
E216466
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Kitengela
Kitengela is a rapidly growing commuter town in Kenya known for its residential estates, industrial development, and proximity to Nairobi.
|
E773373
|
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: Kitengela | Statement: [Nairobi Metropolitan Region, containsTown, Kitengela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitengela Context triple: [Nairobi Metropolitan Region, containsTown, Kitengela]
-
A.
Oshikwambi
Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
-
B.
Zalongo
Zalongo is a historic village and archaeological area in Epirus, Greece, best known for the 19th-century mass suicide of Souliot women commemorated by the Dance of Zalongo.
-
C.
Kamwambie
"Kamwambie" is a popular song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
-
D.
Maswa
Maswa is a town and administrative district in northern Tanzania, known for its agricultural activities within the Simiyu Region.
-
E.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma 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: Kitengela Triple: [Nairobi Metropolitan Region, containsTown, Kitengela]
Generated description
Kitengela is a rapidly growing commuter town in Kenya known for its residential estates, industrial development, and proximity to Nairobi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kitengela Target entity description: Kitengela is a rapidly growing commuter town in Kenya known for its residential estates, industrial development, and proximity to Nairobi.
-
A.
Oshikwambi
Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
-
B.
Zalongo
Zalongo is a historic village and archaeological area in Epirus, Greece, best known for the 19th-century mass suicide of Souliot women commemorated by the Dance of Zalongo.
-
C.
Kamwambie
"Kamwambie" is a popular song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
-
D.
Maswa
Maswa is a town and administrative district in northern Tanzania, known for its agricultural activities within the Simiyu Region.
-
E.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma 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_69ca83d10b608190b2b2f8e0a7faaf14 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6abf4af481908d21245332329d99 |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbce352c8190b5862d0cc103bfdb |
completed | April 3, 2026, 3:25 p.m. |
| NEDg | Description generation | batch_69cfdcdb9d0c81908f89d2085c80016c |
completed | April 3, 2026, 3:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfdda4bf048190bc054fe9b1dcc98d |
completed | April 3, 2026, 3:32 p.m. |
Created at: March 30, 2026, 7:08 p.m.