Triple
T15985463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakuru County |
E387680
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Kuresoi North
Kuresoi North is a rural constituency and administrative area in Kenya known for its agricultural activities and location within Nakuru County in the Rift Valley region.
|
E1187854
|
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: Kuresoi North | Statement: [Nakuru County, hasSettlement, Kuresoi North]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuresoi North Context triple: [Nakuru County, hasSettlement, Kuresoi North]
-
A.
Kiloran
Kiloran is a small coastal settlement on the Scottish island of Colonsay, known for its scenic bay and sandy beach.
-
B.
Southesk
Southesk is the traditional war cry associated with Clan Carnegie, a Scottish noble family from Angus.
-
C.
Orinda
Orinda is a suburban city in Contra Costa County, California, known for its affluent residential character, wooded hills, and role as a commuter community in the San Francisco Bay Area.
-
D.
Kalyke
Kalyke is a small, irregular, retrograde moon of Jupiter belonging to the planet’s distant outer group of natural satellites.
-
E.
Kaledupa
Kaledupa is an island in Indonesia’s Wakatobi archipelago, known for its traditional villages, mangrove forests, and rich surrounding coral reefs.
- 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: Kuresoi North Triple: [Nakuru County, hasSettlement, Kuresoi North]
Generated description
Kuresoi North is a rural constituency and administrative area in Kenya known for its agricultural activities and location within Nakuru County in the Rift Valley region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kuresoi North Target entity description: Kuresoi North is a rural constituency and administrative area in Kenya known for its agricultural activities and location within Nakuru County in the Rift Valley region.
-
A.
Kiloran
Kiloran is a small coastal settlement on the Scottish island of Colonsay, known for its scenic bay and sandy beach.
-
B.
Southesk
Southesk is the traditional war cry associated with Clan Carnegie, a Scottish noble family from Angus.
-
C.
Orinda
Orinda is a suburban city in Contra Costa County, California, known for its affluent residential character, wooded hills, and role as a commuter community in the San Francisco Bay Area.
-
D.
Kalyke
Kalyke is a small, irregular, retrograde moon of Jupiter belonging to the planet’s distant outer group of natural satellites.
-
E.
Kaledupa
Kaledupa is an island in Indonesia’s Wakatobi archipelago, known for its traditional villages, mangrove forests, and rich surrounding coral reefs.
- 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.