Triple
T8949523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Hua |
E213308
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object | South Peak |
E688633
|
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: South Peak | Statement: [Mount Hua, hasPeak, South Peak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Peak Context triple: [Mount Hua, hasPeak, South Peak]
-
A.
South Peak
South Peak is the English meaning of the name "Lhotse," the world’s fourth-highest mountain in the Himalayas, located near Mount Everest.
-
B.
South Peak
chosen
South Peak is a prominent summit of Mount Nebo in Utah’s Wasatch Range, known as one of the mountain’s main high points.
-
C.
North Peak
North Peak is a prominent sub-summit of Mount Nebo in Utah’s Wasatch Range, known as part of the highest massif in the range.
-
D.
North Peak
North Peak is one of the main summits in the Sunday River ski resort in Maine, known for its ski trails and lift access.
-
E.
North Peak
North Peak is one of the main mountain areas at Keystone Resort, known for its intermediate and advanced terrain and scenic alpine skiing.
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc670b5f50819080f1c73992fe5281 |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71c265fcc819095a67f1270cadeec |
completed | April 9, 2026, 3:25 a.m. |
Created at: March 30, 2026, 6:59 p.m.