Triple
T14482599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alto de Jaizkibel |
E359146
|
entity |
| Predicate | hasCyclingSignage |
P66816
|
FINISHED |
| Object | gradient and kilometre markers on some sides |
—
|
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: gradient and kilometre markers on some sides | Statement: [Alto de Jaizkibel, hasCyclingSignage, gradient and kilometre markers on some sides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCyclingSignage Context triple: [Alto de Jaizkibel, hasCyclingSignage, gradient and kilometre markers on some sides]
-
A.
hasTouristSignage
Indicates that there is official signage present to guide or inform tourists about a place, route, or attraction.
-
B.
hasBicycleFacilities
Indicates that appropriate bicycle-related infrastructure or amenities are available at or associated with the subject.
-
C.
hasBicyclePolicy
Indicates that there exists a specific policy or set of rules governing the use, storage, or management of bicycles in relation to the subject.
-
D.
hasRoadSign
chosen
Indicates that one entity possesses, displays, or is associated with a particular road sign.
-
E.
hasNearbyCycleRoute
Indicates that an entity is located close to a designated cycling route or path.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924bc548819087a2f693840d7426 |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.