Triple
T16728263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limuru Road |
E406519
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Limuru |
E769444
|
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: Limuru | Statement: [Limuru Road, connectsTo, Limuru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limuru Context triple: [Limuru Road, connectsTo, Limuru]
-
A.
Limuru
chosen
Limuru is a highland town in central Kenya known for its cool climate, tea plantations, and proximity to Nairobi.
-
B.
Yaunde
Yaunde is an alternative name for Kolo, likely referring to the same place or entity under a different local or historical designation.
-
C.
Mbewuleni
Mbewuleni is a rural village in South Africa’s Eastern Cape province, best known as the birthplace of former South African president Thabo Mbeki.
-
D.
Napirisha
Napirisha is a major Elamite god, often regarded as a supreme or creator deity associated with water and the highlands in ancient Elamite religion.
-
E.
Mogoro
Mogoro is a small town and municipality in central-western Sardinia, Italy, known for its traditional crafts and wine production.
- 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.