Triple
T3363556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taughannock Falls State Park |
E70779
|
entity |
| Predicate | waterfallHeight |
P47584
|
FINISHED |
| Object | approximately 215 feet |
—
|
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: approximately 215 feet | Statement: [Taughannock Falls State Park, waterfallHeight, approximately 215 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterfallHeight Context triple: [Taughannock Falls State Park, waterfallHeight, approximately 215 feet]
-
A.
majorWaterfall
Indicates that a waterfall is of significant size, height, or volume relative to other waterfalls.
-
B.
damHeight
Indicates the vertical height of a dam structure, typically measured from its base or foundation to its crest.
-
C.
heightAboveFalls
Indicates that one entity is located at a higher elevation than a waterfall or waterfalls associated with another entity.
-
D.
primaryWaterfall
Indicates that one entity serves as the main or most significant waterfall associated with another entity.
-
E.
upperFallsHeight
Indicates the vertical height measurement of the upper falls section in a waterfall or multi-tiered cascade.
- 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_69ad85a660c48190998489309a3b4869 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb26a5a508190948932769de0dbb3 |
completed | March 8, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69ada4317e288190ab7d0f66e9dba65f |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada698eeb48190a1f5762fdd3b7b63 |
completed | March 8, 2026, 4:40 p.m. |
Created at: March 8, 2026, 3:13 p.m.