Triple
T2822808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baltoro Muztagh |
E54848
|
entity |
| Predicate | hasNotablePeak |
P10602
|
FINISHED |
| Object | Chogolisa |
E58235
|
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: Chogolisa | Statement: [Baltoro Muztagh, hasNotablePeak, Chogolisa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chogolisa Context triple: [Baltoro Muztagh, hasNotablePeak, Chogolisa]
-
A.
Chogolisa
chosen
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.
-
B.
Mount Karisimbi
Mount Karisimbi is a prominent stratovolcano in the Virunga Mountains on the border of Rwanda and the Democratic Republic of the Congo, known as one of the highest peaks in East Africa.
-
C.
Mount Nyangani
Mount Nyangani is a prominent mountain in eastern Zimbabwe known for its scenic highland landscapes and status as a popular hiking destination.
-
D.
Mount Ngerchelchuus
Mount Ngerchelchuus is the highest peak on the island of Babeldaob in Palau, known as the country's tallest point.
-
E.
Sajama
Sajama is the highest mountain in Bolivia, an extinct stratovolcano located in the Andes near the Chilean border.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde71fdc08190b18660261fe24adf |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceaa45e88190a9007885cf7868ef |
completed | March 10, 2026, 7:56 a.m. |
Created at: March 6, 2026, 9:59 p.m.