Triple
T23528728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niedzica Dam |
E576502
|
entity |
| Predicate | usedForRecreation |
P80753
|
FINISHED |
| Object | sailing |
—
|
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: sailing | Statement: [Niedzica Dam, usedForRecreation, sailing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForRecreation Context triple: [Niedzica Dam, usedForRecreation, sailing]
-
A.
hasRecreationPurpose
chosen
Indicates that something is used or intended to be used for recreational or leisure activities.
-
B.
recreationUseLevel
Indicates the intensity or degree to which an entity is used for recreational activities.
-
C.
hasRecreationalAspect
Indicates that something includes, involves, or is characterized by a recreational or leisure-related component or purpose.
-
D.
reclamationUse
Indicates the use or intended use of something specifically for reclamation, restoration, or recovery purposes.
-
E.
hasRecreationalContext
Indicates that something occurs, is used, or is understood within a leisure, entertainment, or recreational setting or purpose.
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac758038819098f5f597be39274e |
completed | April 29, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:09 p.m.