Triple
T37675138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Platja de Ribes Roges |
E938070
|
entity |
| Predicate | hasCyclePathNearby |
P74151
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Platja de Ribes Roges, hasCyclePathNearby, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCyclePathNearby Context triple: [Platja de Ribes Roges, hasCyclePathNearby, yes]
-
A.
hasNearbyCycleRoute
chosen
Indicates that an entity is located close to a designated cycling route or path.
-
B.
hasCycleAccess
Indicates that an entity is permitted to use or access a bicycle or cycling-related resource.
-
C.
hasCircularWalk
Indicates that an entity possesses or includes a walking path or route that forms a closed circular loop.
-
D.
hasCycleInfrastructure
Indicates that a location or route is equipped with infrastructure designed for cycling, such as bike lanes, paths, or related facilities.
-
E.
hasNearbyCrossingPoint
Indicates that one location has a crossing point (such as a bridge, crosswalk, or intersection) situated close to 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_69f76ed7b1408190ba8c93c53cb8becf |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba9e8d3388190876fda332d23e901 |
completed | May 6, 2026, 8:51 p.m. |
| PD | Predicate disambiguation | batch_69fba887821c8190ae93ef1dd389e9c8 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.