Triple
T7913348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Street |
E183753
|
entity |
| Predicate | hasParentPeak |
P1319
|
FINISHED |
| Object | Helvellyn |
E87885
|
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: Helvellyn | Statement: [High Street, hasParentPeak, Helvellyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helvellyn Context triple: [High Street, hasParentPeak, Helvellyn]
-
A.
Helvellyn
chosen
Helvellyn is a prominent mountain in England’s Lake District, renowned for its dramatic ridges, scenic views, and popularity with hikers and climbers.
-
B.
Scafell Pike
Scafell Pike is the highest mountain in England, located in the Lake District National Park.
-
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.
Skiddaw
Skiddaw is a prominent mountain in England’s Lake District, known for its rounded summit and popularity with walkers.
-
E.
Seathwaite Fell
Seathwaite Fell is a prominent Lake District fell in Cumbria, England, known for its rugged terrain, scenic views, and popularity with hillwalkers.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a748f4c8190bcd868de2fcf0b3a |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bdfb8d0819089cf1268df61bcdc |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:04 p.m.