Triple
T30172013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinzua Bridge State Park |
E766944
|
entity |
| Predicate | skywalkFeature |
P168833
|
FINISHED |
| Object | glass-floored observation area |
—
|
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: glass-floored observation area | Statement: [Kinzua Bridge State Park, skywalkFeature, glass-floored observation area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skywalkFeature Context triple: [Kinzua Bridge State Park, skywalkFeature, glass-floored observation area]
-
A.
skywalkOpened
Indicates that a skywalk has been officially opened for use or made accessible.
-
B.
hasScenicViewOf
Indicates that one entity offers a visually appealing or picturesque view of another entity.
-
C.
towerViews
Indicates that a tower provides a view of, or overlooks, a particular place or object.
-
D.
rideFeature
Indicates that one entity is a feature, characteristic, or component associated with a particular ride.
-
E.
isScenicWalkway
Indicates that a path or route is designated as a walkway notable for its visually appealing or picturesque surroundings.
- 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_69f2247ba20c81909d34f2bfed706e1e |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67f0c2d248190a12c361305d6f00d |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676f73c3481909f01fa69851b7298 |
completed | May 2, 2026, 10:13 p.m. |
Created at: April 29, 2026, 7:24 p.m.