Triple
T2648263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cumberland |
E53833
|
entity |
| Predicate | hasHighestPoint |
P210
|
FINISHED |
| Object | Skiddaw |
E141128
|
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: Skiddaw | Statement: [Cumberland, hasHighestPoint, Skiddaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skiddaw Context triple: [Cumberland, hasHighestPoint, Skiddaw]
-
A.
Skiddaw
chosen
Skiddaw is a prominent mountain in England’s Lake District, known for its rounded summit and popularity with walkers.
-
B.
Helvellyn
Helvellyn is a prominent mountain in England’s Lake District, renowned for its dramatic ridges, scenic views, and popularity with hikers and climbers.
-
C.
Scafell
Scafell is a prominent mountain in England’s Lake District, known as one of the country’s highest peaks and a notable neighbor of Scafell Pike.
-
D.
Scafell Pike
Scafell Pike is the highest mountain in England, located in the Lake District National Park.
-
E.
Loughrigg Fell
Loughrigg Fell is a popular low fell in England’s Lake District known for its accessible walking routes and panoramic views over nearby lakes and valleys.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd91b4b3c81908571e85a1621dfc5 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98c944548190a8dbe9b81045e97b |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:53 p.m.