Triple
T29816275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wadsworth Falls State Park |
E757112
|
entity |
| Predicate | hasSwimmingAreaType |
P167899
|
FINISHED |
| Object | river pool |
—
|
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: river pool | Statement: [Wadsworth Falls State Park, hasSwimmingAreaType, river pool]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSwimmingAreaType Context triple: [Wadsworth Falls State Park, hasSwimmingAreaType, river pool]
-
A.
hasSwimmingPool
Indicates that the subject possesses or includes a swimming pool as one of its features.
-
B.
swimmingAllowed
Indicates that swimming is permitted at a particular place, time, or under specified conditions.
-
C.
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).
-
D.
hasAquaticCentre
Indicates that one entity possesses, contains, or is associated with an aquatic centre facility.
-
E.
hasDivingBoards
Indicates that one entity possesses or is equipped with one or more diving boards.
- F. None of above. chosen
Provenance (4 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_69f2245701c88190ad42415a0956c4ed |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f675637b0c81908fca0623b5feb312 |
completed | May 2, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 29, 2026, 5:26 p.m.