Triple
T6820030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wansfell Pike |
E156873
|
entity |
| Predicate | isOnWalkingRoute |
P6309
|
FINISHED |
| Object | Wansfell round from Ambleside |
—
|
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: Wansfell round from Ambleside | Statement: [Wansfell Pike, isOnWalkingRoute, Wansfell round from Ambleside]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnWalkingRoute Context triple: [Wansfell Pike, isOnWalkingRoute, Wansfell round from Ambleside]
-
A.
hasWalkwayPosition
Indicates the spatial or relative position of an entity along or within a walkway.
-
B.
isWalkable
Indicates that an entity can be traversed on foot, typically without obstruction or restriction.
-
C.
isPartOfRoute
chosen
Indicates that something (such as a segment, stop, or step) belongs to and is contained within a larger route.
-
D.
hasApproximateWalkingTimeTo
Indicates that there is an estimated or approximate amount of time it takes to walk from one entity to another.
-
E.
isOnCircularRoute
Indicates that an entity follows or belongs to a route that forms a closed loop, starting and ending at the same point.
- 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_69c688298a288190af3f285d57f76bbe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d359176c8190a34664ba2fcf7ee2 |
completed | March 27, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69c6d09bb4f881909bf20c188cb3e8e1 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:17 p.m.