Triple
T4914460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympus National Park |
E110313
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Skolio peak |
E529255
|
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: Skolio peak | Statement: [Olympus National Park, contains, Skolio peak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skolio peak Context triple: [Olympus National Park, contains, Skolio peak]
-
A.
Skolio Peak
chosen
Skolio Peak is a prominent summit in Greece’s Mount Olympus massif, known as one of the highest and most frequently climbed peaks in the range.
-
B.
Stefani peak
Stefani peak is a prominent summit on Mount Olympus in Greece, known for its striking rocky crown and challenging alpine routes within Olympus National Park.
-
C.
Biarchedi Peak
Biarchedi Peak is a prominent mountain in Pakistan’s Karakoram range, known for its striking pyramidal shape and proximity to the Baltoro Glacier.
-
D.
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.
-
E.
Ruen Peak
Ruen Peak is the highest summit of the Osogovo mountain range, located on the border between Bulgaria and North Macedonia.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e9f12b48190b3cb5378958d03cd |
completed | March 20, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c059bd73e481909e23e1796262b8c4 |
completed | March 22, 2026, 9:06 p.m. |
Created at: March 20, 2026, 1:29 p.m.