Triple
T15985462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakuru County |
E387680
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Rongai
Rongai is a town and administrative center in Kenya’s Rift Valley region, situated within Nakuru County.
|
E1187853
|
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: Rongai | Statement: [Nakuru County, hasSettlement, Rongai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rongai Context triple: [Nakuru County, hasSettlement, Rongai]
-
A.
Rongai Route
Rongai Route is one of the main trekking paths used to ascend Mount Kilimanjaro, known for its quieter northern approach and relatively gentle, scenic climb.
-
B.
Lemosho Route
Lemosho Route is a popular, scenic multi-day trekking path used by climbers to ascend Mount Kilimanjaro from its western side.
-
C.
Umbwe Route
Umbwe Route is a steep, short, and less-traveled ascent path on Mount Kilimanjaro known for its direct approach and challenging terrain.
-
D.
Marangu Route
Marangu Route is a popular and relatively easier trekking path up Mount Kilimanjaro, known for its hut accommodations and gradual slopes.
-
E.
Nairobi–Kilimanjaro route
The Nairobi–Kilimanjaro route is a regional air corridor linking Kenya’s capital with the area around Mount Kilimanjaro in northern Tanzania, serving both tourism and local travel.
- 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: Rongai Triple: [Nakuru County, hasSettlement, Rongai]
Generated description
Rongai is a town and administrative center in Kenya’s Rift Valley region, situated within Nakuru County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rongai Target entity description: Rongai is a town and administrative center in Kenya’s Rift Valley region, situated within Nakuru County.
-
A.
Rongai Route
Rongai Route is one of the main trekking paths used to ascend Mount Kilimanjaro, known for its quieter northern approach and relatively gentle, scenic climb.
-
B.
Lemosho Route
Lemosho Route is a popular, scenic multi-day trekking path used by climbers to ascend Mount Kilimanjaro from its western side.
-
C.
Umbwe Route
Umbwe Route is a steep, short, and less-traveled ascent path on Mount Kilimanjaro known for its direct approach and challenging terrain.
-
D.
Marangu Route
Marangu Route is a popular and relatively easier trekking path up Mount Kilimanjaro, known for its hut accommodations and gradual slopes.
-
E.
Nairobi–Kilimanjaro route
The Nairobi–Kilimanjaro route is a regional air corridor linking Kenya’s capital with the area around Mount Kilimanjaro in northern Tanzania, serving both tourism and local travel.
- 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.