Triple
T14998914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kibo Hut |
E374030
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Mawenzi Peak |
E78468
|
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: Mawenzi Peak | Statement: [Kibo Hut, hasViewOf, Mawenzi Peak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mawenzi Peak Context triple: [Kibo Hut, hasViewOf, Mawenzi Peak]
-
A.
Mawenzi
chosen
Mawenzi is the jagged, eroded eastern peak of Mount Kilimanjaro and one of its three main volcanic cones.
-
B.
Uhuru Peak
Uhuru Peak is the highest summit of Mount Kilimanjaro and the tallest point in Africa, renowned as a major goal for trekkers and climbers worldwide.
-
C.
Giriama
Giriama are a major subgroup of the Mijikenda people of coastal Kenya, known for their distinct language, cultural traditions, and historical resistance to colonial rule.
-
D.
Mount Mutombo
Mount Mutombo is the famous nickname of Hall of Fame NBA center Dikembe Mutombo, reflecting his towering height and dominant defensive presence on the basketball court.
-
E.
Mount Kenya
Mount Kenya is an extinct stratovolcano in central Kenya and Africa’s second-highest mountain, renowned for its rugged peaks, glaciers, and alpine ecosystems.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded71a5618819083ae96a79735ef98 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5aca8488190bf00bdbd7c4fb535 |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 2:54 a.m.