Triple
T21482286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GR4 long-distance footpath |
E530023
|
entity |
| Predicate | usesWaymarking |
P47567
|
FINISHED |
| Object | red and white blazes |
—
|
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: red and white blazes | Statement: [GR4 long-distance footpath, usesWaymarking, red and white blazes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesWaymarking Context triple: [GR4 long-distance footpath, usesWaymarking, red and white blazes]
-
A.
waymarkingStatus
Indicates the current state or condition of a waymarking process, such as whether a location or route has been identified, recorded, approved, or otherwise classified in a waymarking system.
-
B.
trailsMarkedBy
chosen
Indicates that a trail or path is designated or identified by specific markers, signs, or blazes placed along its route.
-
C.
hasWaypoint
Indicates that an entity follows a path or route that includes a specific intermediate location (waypoint) along its trajectory.
-
D.
mapUse
Indicates a relationship where one entity uses, applies, or employs a map (or mapping) to perform an action or achieve a purpose.
-
E.
hasMarkerOrMonument
Indicates that something possesses or is associated with a physical marker or monument commemorating it.
- 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea34c4388190adc78d209d2aafb8 |
completed | April 23, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69e631ec1d048190b6da97da8222e413 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:21 p.m.