Triple
T37446522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornizzolo |
E930563
|
entity |
| Predicate | hasParaglidingTakeoffSites |
P184266
|
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: [Cornizzolo, hasParaglidingTakeoffSites, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParaglidingTakeoffSites Context triple: [Cornizzolo, hasParaglidingTakeoffSites, yes]
-
A.
paraglidingLaunchSiteFrom
chosen
Indicates the location or site from which a paragliding launch is initiated.
-
B.
hangGlidingSite
Indicates a location that is specifically used or suitable as a site for hang gliding activities.
-
C.
hasSeaplaneFacilitiesNearby
Indicates that the subject has seaplane facilities located in its nearby vicinity.
-
D.
isScenicStartingPointFor
Indicates that a location serves as an especially picturesque or visually appealing starting point for a route, journey, or activity.
-
E.
hasCampSites
Indicates that one entity provides, contains, or is associated with one or more designated camping sites for use.
- 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_69f76ec0b9488190b7a4fae632bd1d2f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0058c341ac8190825067dc25158839 |
completed | May 10, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_6a005857249c81908b27587b84d84dbb |
completed | May 10, 2026, 10:05 a.m. |
Created at: May 3, 2026, 4:17 p.m.