Triple
T9410505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ceredigion Coast Path |
E226692
|
entity |
| Predicate | waymarkedWith |
P47567
|
FINISHED |
| Object | coast path symbols |
—
|
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: coast path symbols | Statement: [Ceredigion Coast Path, waymarkedWith, coast path symbols]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waymarkedWith Context triple: [Ceredigion Coast Path, waymarkedWith, coast path symbols]
-
A.
trailsMarkedBy
chosen
Indicates that a trail or path is designated or identified by specific markers, signs, or blazes placed along its route.
-
B.
trailDesignation
Indicates that a particular label, name, or classification has been assigned to a trail to identify its route, type, or official status.
-
C.
trailName
Indicates the name assigned to a specific trail or path in the relationship.
-
D.
TrailLinkIs
Indicates that one trail segment is connected to or continues from another trail segment.
-
E.
roadTraverses
Indicates that a road passes through, crosses, or extends across a specified geographic area or feature.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5255e4fc81908bf2f69c9a12ef83 |
completed | April 1, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69cca54c37f88190bddccf28e5fe5c84 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:47 p.m.