Triple
T24814387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Sca Fell |
E620873
|
entity |
| Predicate | hasTypicalAscentFrom |
P37604
|
FINISHED |
| Object | Caldbeck area |
—
|
LITERAL 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: Caldbeck area | Statement: [Great Sca Fell, hasTypicalAscentFrom, Caldbeck area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalAscentFrom Context triple: [Great Sca Fell, hasTypicalAscentFrom, Caldbeck area]
-
A.
typicalAscentStartPoint
chosen
Indicates the usual or most common location from which an ascent or climb is begun.
-
B.
typicalAscentCombinedWith
Indicates that one ascent or climbing route is normally undertaken together with another as part of a standard or customary combined itinerary.
-
C.
hasPopularAscentRouteFrom
Indicates that there exists a commonly used or well-known route for ascending to a place or peak starting from the specified origin location.
-
D.
hasClimbFrom
Indicates a relationship where one location or object serves as the starting point from which a climb or ascent to another location or object begins.
-
E.
hasFirstRecordedAscent
Indicates that a particular ascent is the earliest known or documented successful climb of a specific route, peak, or climbing objective.
- F. None of above.
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_69e2fabfd4648190bd0e5c7f4dbb6cab |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 18, 2026, 5 a.m.