Triple
T14998913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kibo Hut |
E374030
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Kibo summit cone |
E312465
|
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: Kibo summit cone | Statement: [Kibo Hut, hasViewOf, Kibo summit cone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kibo summit cone Context triple: [Kibo Hut, hasViewOf, Kibo summit cone]
-
A.
Kibo summit crater
chosen
Kibo summit crater is the large volcanic crater at the highest point of Mount Kilimanjaro in Tanzania, forming the mountain’s main summit area.
-
B.
Kibo
Kibo is Japan’s primary science module on the International Space Station, used for a wide range of microgravity experiments and technology demonstrations.
-
C.
Mount Mikeno
Mount Mikeno is a steep, glaciated stratovolcano in the Virunga Mountains of the Democratic Republic of the Congo, known for its rugged terrain and proximity to endangered mountain gorilla habitats.
-
D.
Mount Kiematubu
Mount Kiematubu is a volcanic peak that forms the highest point on the Indonesian island of Tidore in the Maluku Islands.
-
E.
Mount Kisokoma
Mount Kisokoma is a prominent alpine peak in Japan’s Central Alps, known for its scenic highland landscapes and popular hiking routes.
- 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_69fedd2046348190bcf8660bf3825b8f |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 2:54 a.m.