Triple
T16728265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limuru Road |
E406519
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Kenyan Highlands |
E871858
|
NE FINISHED |
How this triple was built (2 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: Kenyan Highlands | Statement: [Limuru Road, connectsTo, Kenyan Highlands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenyan Highlands Context triple: [Limuru Road, connectsTo, Kenyan Highlands]
-
A.
Kenyan highlands
chosen
The Kenyan highlands are a fertile, elevated region of Kenya known for their cool climate, intensive agriculture, and dense rural population.
-
B.
Lichenya Plateau
Lichenya Plateau is a high, expansive upland area on Malawi’s Mount Mulanje, known for its scenic grasslands, forests, and hiking routes.
-
C.
Ngada highlands
The Ngada highlands are a mountainous region in central Flores, Indonesia, known for their cool climate, traditional villages, and dramatic volcanic landscapes.
-
D.
Burundi Highlands
The Burundi Highlands are a mountainous region in central Burundi characterized by high plateaus, rugged terrain, and the country’s highest peaks.
-
E.
Kigezi Highlands
The Kigezi Highlands are a mountainous region in southwestern Uganda known for their steep terraced hills, cool climate, and rich biodiversity, including habitats for endangered mountain gorillas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38749baa48190892b2e2b978f6eb6 |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d483a8c8190b127f32dcc21be5a |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:20 a.m.