Triple
T34611718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boyne Falls |
E888756
|
entity |
| Predicate | hasNearbyOutdoorRecreationArea |
P155301
|
FINISHED |
| Object | Boyne Mountain ski area |
—
|
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: Boyne Mountain ski area | Statement: [Boyne Falls, hasNearbyOutdoorRecreationArea, Boyne Mountain ski area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyOutdoorRecreationArea Context triple: [Boyne Falls, hasNearbyOutdoorRecreationArea, Boyne Mountain ski area]
-
A.
hasRecreationalActivityNearby
chosen
Indicates that a location has one or more recreational activities or facilities available in its nearby surroundings.
-
B.
hasRecreationalUseNearby
Indicates that there is at least one location or facility for recreational activities situated close to the referenced entity.
-
C.
hasNearbyGreenSpace
Indicates that an entity is located close to an area of green space, such as a park, garden, or natural vegetation.
-
D.
hasNearbyStatePark
Indicates that a location is situated close to at least one designated state park.
-
E.
hasRecreationalArea
Indicates that an entity includes, provides, or is associated with a designated space intended for leisure or recreational activities.
- 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_69ffe12ee59c8190bc7da386e6d5332d |
completed | May 10, 2026, 1:36 a.m. |
| PD | Predicate disambiguation | batch_69ffe0a138bc8190a3d4b48cd579e985 |
completed | May 10, 2026, 1:34 a.m. |
Created at: May 1, 2026, 2:03 a.m.