Triple
T15985458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakuru County |
E387680
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Molo
Molo is a town in Kenya’s Rift Valley region known for its agricultural activities and cool highland climate.
|
E1187850
|
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: Molo | Statement: [Nakuru County, hasSettlement, Molo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molo Context triple: [Nakuru County, hasSettlement, Molo]
-
A.
El Molo
El Molo is a nearly extinct Cushitic language spoken by the El Molo people of northern Kenya along the shores of Lake Turkana.
-
B.
Mosta
Mosta is a town in central Malta best known for its impressive Rotunda church, which has one of the largest unsupported domes in the world.
-
C.
Murlo
Murlo is a small historic municipality in Tuscany, Italy, known for its Etruscan archaeological heritage and picturesque rural landscape.
-
D.
Mvumbi
Mvumbi is the Zulu name of Albert Luthuli, the South African anti-apartheid leader and Nobel Peace Prize laureate.
-
E.
Molazzana
Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
- 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: Molo Triple: [Nakuru County, hasSettlement, Molo]
Generated description
Molo is a town in Kenya’s Rift Valley region known for its agricultural activities and cool highland climate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Molo Target entity description: Molo is a town in Kenya’s Rift Valley region known for its agricultural activities and cool highland climate.
-
A.
El Molo
El Molo is a nearly extinct Cushitic language spoken by the El Molo people of northern Kenya along the shores of Lake Turkana.
-
B.
Mosta
Mosta is a town in central Malta best known for its impressive Rotunda church, which has one of the largest unsupported domes in the world.
-
C.
Murlo
Murlo is a small historic municipality in Tuscany, Italy, known for its Etruscan archaeological heritage and picturesque rural landscape.
-
D.
Mvumbi
Mvumbi is the Zulu name of Albert Luthuli, the South African anti-apartheid leader and Nobel Peace Prize laureate.
-
E.
Molazzana
Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157589d78819091f7b9b1081dd6ad |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3cfc8d08190a02abc90c889c8e1 |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc4ed71648190983a0a4150c4d8c4 |
completed | May 9, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc5a5b46881908589fd1dabef5378 |
completed | May 9, 2026, 11:39 p.m. |
Created at: April 10, 2026, 4:54 a.m.