Triple
T22762798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake District fells |
E563035
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | High Raise |
—
|
NE NERFINISHED |
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: High Raise | Statement: [Lake District fells, contains, High Raise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: High Raise Context triple: [Lake District fells, contains, High Raise]
-
A.
High Raise
chosen
High Raise is a prominent fell in England’s Lake District, known for its expansive summit views over the central Lakeland fells.
-
B.
Elevate
Elevate is a wellbeing and personal development company founded by coach and speaker Lucy Faulks-Barnard, focused on improving mental health, resilience, and workplace happiness.
-
C.
Elevate
Elevate was Virgin America's frequent-flyer loyalty program, allowing passengers to earn and redeem points for flights and related travel benefits.
-
D.
Raise
Raise is a prominent fell in England's Lake District, known for its rounded summit, walking routes, and winter ski tow on its northern slopes.
-
E.
High for This
"High for This" is the atmospheric opening track by Canadian singer The Weeknd, known for its dark, moody production and themes of seduction and intoxication.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7dd9348190ba7c74362ad30b1e |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:26 p.m.