Triple
T1003928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Africa |
E21665
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mount Kenya |
E81182
|
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: Mount Kenya | Statement: [East Africa, contains, Mount Kenya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Kenya Context triple: [East Africa, contains, Mount Kenya]
-
A.
Mount Kenya
chosen
Mount Kenya is an extinct stratovolcano in central Kenya and Africa’s second-highest mountain, renowned for its rugged peaks, glaciers, and alpine ecosystems.
-
B.
Mount Kilimanjaro
Mount Kilimanjaro is a massive dormant stratovolcano in northeastern Tanzania and the tallest mountain in Africa, famed for its snow-capped summit rising above the surrounding savanna.
-
C.
Rwenzori Mountains
The Rwenzori Mountains are a snow-capped mountain range in East Africa, famed for their glaciers, unique alpine flora, and status as one of the continent’s highest and most dramatic massifs.
-
D.
Mawenzi
Mawenzi is the jagged, eroded eastern peak of Mount Kilimanjaro and one of its three main volcanic cones.
-
E.
Mount Nyangani
Mount Nyangani is a prominent mountain in eastern Zimbabwe known for its scenic highland landscapes and status as a popular hiking destination.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4ff614081909478500ada1f5059 |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3ba7063c8190ba79e974cf38cdea |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:41 p.m.