Triple
T227978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scottish Highlands |
E4352
|
entity |
| Predicate | hasHighestPoint |
P210
|
FINISHED |
| Object | Ben Nevis |
E5227
|
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: Ben Nevis | Statement: [Scottish Highlands, hasHighestPoint, Ben Nevis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Nevis Context triple: [Scottish Highlands, hasHighestPoint, Ben Nevis]
-
A.
Ben Nevis
chosen
Ben Nevis is the tallest mountain in the British Isles, located near Fort William in the Scottish Highlands and popular for hiking and climbing.
-
B.
Scafell Pike
Scafell Pike is the highest mountain in England, located in the Lake District National Park.
-
C.
White Peak
White Peak is the limestone plateau region of England’s Peak District, known for its rolling dales, dry stone walls, and pastoral landscapes.
-
D.
Nevis
Nevis is a small volcanic island in the Caribbean known for its lush landscapes, historic plantations, and tranquil beaches.
-
E.
Mount Lyell
Mount Lyell is a prominent, glacier-clad peak in the Sierra Nevada of California, renowned as the tallest mountain in Yosemite National Park and a popular destination for experienced climbers.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c8f60e081909a1e382c1564df8d |
completed | Feb. 28, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a35ea326608190be39ec5260c3dac3 |
completed | Feb. 28, 2026, 9:31 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.