Triple
T33429433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Largs Harbour |
E856083
|
entity |
| Predicate | hasApproximateCrossingTimeToCumbraeSlip |
P22182
|
FINISHED |
| Object | about 10 minutes |
—
|
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: about 10 minutes | Statement: [Largs Harbour, hasApproximateCrossingTimeToCumbraeSlip, about 10 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateCrossingTimeToCumbraeSlip Context triple: [Largs Harbour, hasApproximateCrossingTimeToCumbraeSlip, about 10 minutes]
-
A.
approximateCrossingTime
chosen
Indicates an estimated point in time when one entity is expected to cross or intersect another (such as a path, boundary, or trajectory).
-
B.
hasCanalCrossing
Indicates that one entity is connected to or traversed by another via a canal crossing, such as a bridge, aqueduct, or similar structure over a canal.
-
C.
crossingOf
Indicates that one entity serves as the intersection or crossing point of two or more linear features, such as roads, paths, or tracks.
-
D.
hasMethodOfCrossing
Indicates that one entity uses or is associated with a particular way or technique of crossing another entity or obstacle.
-
E.
hasRiverCrossingNearby
Indicates that there is a river crossing located in close proximity to the referenced entity or location.
- 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: May 1, 2026, 1:36 a.m.