Triple
T7013447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinara |
E162639
|
entity |
| Predicate | popularAccessRoute |
P24031
|
FINISHED |
| Object | trail from Glavaš side (Croatia) |
—
|
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: trail from Glavaš side (Croatia) | Statement: [Dinara, popularAccessRoute, trail from Glavaš side (Croatia)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularAccessRoute Context triple: [Dinara, popularAccessRoute, trail from Glavaš side (Croatia)]
-
A.
popularRouteFrom
chosen
Indicates a frequently chosen or well-traveled route that starts from a given origin location.
-
B.
popularFor
Indicates that something is widely liked, recognized, or favored specifically because of a particular feature, quality, or use.
-
C.
popularDescription
Indicates that an entity has a commonly used or widely recognized descriptive text or label associated with it.
-
D.
publicAccess
Indicates that something is available for use, entry, or viewing by the general public without special restrictions or permissions.
-
E.
popularityRelativeToOtherRoutes
Indicates how popular a given route is compared to other available routes.
- 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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc59cbfc8190bba9ebd14143d43c |
completed | March 27, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c790288190b7cbbaa4a5f9c91d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:34 p.m.