Triple
T8541358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Kabete Campus |
E202203
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Upper Kabete
Upper Kabete is a residential and educational suburb in Nairobi, Kenya, known for hosting major university and research institutions.
|
E741142
|
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: Upper Kabete | Statement: [Upper Kabete Campus, locatedIn, Upper Kabete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Upper Kabete Context triple: [Upper Kabete Campus, locatedIn, Upper Kabete]
-
A.
Kabany
Kabany is a rural locality in present-day Ukraine, historically part of the Russian Empire and known as the birthplace of Soviet politician Lazar Kaganovich.
-
B.
Kaben
Kaben is one of the islands that make up Maloelap Atoll in the Marshall Islands, a Pacific island nation.
-
C.
Kachera
Kachera are traditional cotton undergarments worn by initiated Sikhs as one of the Five Ks, symbolizing modesty, self-control, and readiness.
-
D.
Gardabani
Gardabani is a town in southeastern Georgia known for its role as an industrial and energy hub within the Kvemo Kartli region.
-
E.
Karbi
Karbi is a Tibeto-Burman language spoken primarily by the Karbi people in the northeastern Indian state of Assam.
- 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: Upper Kabete Triple: [Upper Kabete Campus, locatedIn, Upper Kabete]
Generated description
Upper Kabete is a residential and educational suburb in Nairobi, Kenya, known for hosting major university and research institutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Upper Kabete Target entity description: Upper Kabete is a residential and educational suburb in Nairobi, Kenya, known for hosting major university and research institutions.
-
A.
Kabany
Kabany is a rural locality in present-day Ukraine, historically part of the Russian Empire and known as the birthplace of Soviet politician Lazar Kaganovich.
-
B.
Kaben
Kaben is one of the islands that make up Maloelap Atoll in the Marshall Islands, a Pacific island nation.
-
C.
Kachera
Kachera are traditional cotton undergarments worn by initiated Sikhs as one of the Five Ks, symbolizing modesty, self-control, and readiness.
-
D.
Gardabani
Gardabani is a town in southeastern Georgia known for its role as an industrial and energy hub within the Kvemo Kartli region.
-
E.
Karbi
Karbi is a Tibeto-Burman language spoken primarily by the Karbi people in the northeastern Indian state of Assam.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6e10bc081909a7210c577b807fb |
completed | March 31, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6da3d65c819087ed6b46dfc35885 |
completed | April 2, 2026, 1:22 p.m. |
| NEDg | Description generation | batch_69ce6ec3b080819082d64646d453541d |
completed | April 2, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fe928d48190824e7a94fea5cfc0 |
completed | April 2, 2026, 1:32 p.m. |
Created at: March 30, 2026, 6:18 p.m.