Triple
T34611737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boyne Falls |
E888756
|
entity |
| Predicate | hasNearbyWaterPark |
P3449
|
FINISHED |
| Object | Avalanche Bay Indoor Waterpark |
—
|
NE NERFINISHED |
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: Avalanche Bay Indoor Waterpark | Statement: [Boyne Falls, hasNearbyWaterPark, Avalanche Bay Indoor Waterpark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyWaterPark Context triple: [Boyne Falls, hasNearbyWaterPark, Avalanche Bay Indoor Waterpark]
-
A.
hasWaterPark
Indicates that one entity possesses, includes, or features a water park as part of its facilities or attributes.
-
B.
hasNearbyHolidayPark
Indicates that one place or location is situated close to a holiday park.
-
C.
hasWaterParkName
Indicates that a water park is associated with a specific name or title.
-
D.
hasAttractionNearby
chosen
Indicates that one entity is located close to another entity that serves as an attraction or point of interest.
-
E.
hasNearbyStatePark
Indicates that a location is situated close to at least one designated state park.
- 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_69f349d584e08190b40b9f6281ad50c4 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ffe23081408190a121d901dbce1403 |
completed | May 10, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ffe18aed348190912a5996b2da728b |
completed | May 10, 2026, 1:38 a.m. |
Created at: May 1, 2026, 2:03 a.m.