Triple
T23876047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Icknield Way Trail |
E592867
|
entity |
| Predicate | usesWaymarks |
P47567
|
FINISHED |
| Object | Icknield Way Trail waymarks |
—
|
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: Icknield Way Trail waymarks | Statement: [Icknield Way Trail, usesWaymarks, Icknield Way Trail waymarks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesWaymarks Context triple: [Icknield Way Trail, usesWaymarks, Icknield Way Trail waymarks]
-
A.
hasWaypoint
Indicates that an entity follows a path or route that includes a specific intermediate location (waypoint) along its trajectory.
-
B.
trailsMarkedBy
chosen
Indicates that a trail or path is designated or identified by specific markers, signs, or blazes placed along its route.
-
C.
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.
-
D.
hasTrailheads
Indicates that one location or area contains or provides access points where trails begin.
-
E.
usedToNavigate
Indicates that one entity served as a means or tool for another entity to find or follow a route or direction.
- 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_69e25d23a5c88190ae3999c70ca15e08 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cc012974819090b34aad6a230f81 |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:15 p.m.