Triple
T16419465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vassiliki Beach |
E398776
|
entity |
| Predicate | hasWaterSport |
P56827
|
FINISHED |
| Object | windsurfing |
—
|
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: windsurfing | Statement: [Vassiliki Beach, hasWaterSport, windsurfing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterSport Context triple: [Vassiliki Beach, hasWaterSport, windsurfing]
-
A.
hasWaterActivity
Indicates that one entity possesses, exhibits, or is characterized by a particular level or type of water-related activity (such as moisture content, water availability, or water-based processes).
-
B.
hasWaterRelatedActivity
Indicates that an entity engages in, offers, or is associated with an activity involving water (e.g., swimming, boating, or other water-based actions).
-
C.
waterSport
chosen
Indicates participation in or association with a sport or recreational activity that takes place on or in water.
-
D.
hasBoatFacility
Indicates that an entity provides or is equipped with facilities or services specifically for boats.
-
E.
hasWaterPark
Indicates that one entity possesses, includes, or features a water park as part of its facilities or attributes.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328f5c1bc8190a679f35bd6c0bc97 |
completed | April 18, 2026, 6:47 a.m. |
| PD | Predicate disambiguation | batch_69e226fe1dd08190865c181721f8c348 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:09 a.m.