Triple
T11718334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nant Gwynant |
E278559
|
entity |
| Predicate | hasNearbyLakeShoreCamping |
P79315
|
FINISHED |
| Object | Llyn Gwynant campsite |
—
|
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: Llyn Gwynant campsite | Statement: [Nant Gwynant, hasNearbyLakeShoreCamping, Llyn Gwynant campsite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyLakeShoreCamping Context triple: [Nant Gwynant, hasNearbyLakeShoreCamping, Llyn Gwynant campsite]
-
A.
hasNearbyLake
Indicates that one entity is located close to or in the vicinity of a lake.
-
B.
nearbyCampground
chosen
Indicates that one location has a campground situated close to it in geographic proximity.
-
C.
hasCampground
Indicates that one entity provides, contains, or is associated with a campground facility or area for another entity.
-
D.
hasNearbyProvincialPark
Indicates that one entity is located close to, or in the vicinity of, a provincial park.
-
E.
hasRecreationalUseNearby
Indicates that there is at least one location or facility for recreational activities situated close to the referenced entity.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c26e4c8190ae30d906b4fd4221 |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7d483081909c2a101087515d74 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.