Triple
T9185499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiphire |
E220445
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mount Saramati |
E605333
|
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 Saramati | Statement: [Kiphire, near, Mount Saramati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Saramati Context triple: [Kiphire, near, Mount Saramati]
-
A.
Mount Saramati
chosen
Mount Saramati is a prominent peak in Northeast India, known for its rugged terrain, rich biodiversity, and panoramic views over the India–Myanmar border region.
-
B.
Chogolisa
Chogolisa is a prominent, heavily glaciated mountain peak in the Karakoram range of the Himalayas, known for its challenging climbing routes and severe weather conditions.
-
C.
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.
-
D.
Mount Ntringui
Mount Ntringui is a volcanic peak on the island of Anjouan in the Comoros, known for its lush forests and prominence in the island’s rugged landscape.
-
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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc318d5c081908c50b56e5783ea38 |
completed | April 1, 2026, 7:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c19635c81908ad2cf07f5ad813c |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:24 p.m.