Triple
T14242206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorge Trail |
E353036
|
entity |
| Predicate | waterfallHeightViewed |
P42841
|
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: [Gorge Trail, waterfallHeightViewed, approximately 215 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterfallHeightViewed Context triple: [Gorge Trail, waterfallHeightViewed, approximately 215 feet]
-
A.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
B.
approximateHeightOfFallsViewed
chosen
Indicates the estimated vertical height of the waterfalls as observed or perceived by the viewer.
-
C.
waterfallLocation
Indicates the spatial location or geographic area where a waterfall is situated.
-
D.
hasNumberOfWaterfalls
Indicates the quantity of waterfalls associated with a given entity.
-
E.
waterfallName
Indicates that an entity is identified by or associated with the specific name of a waterfall.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6244ad188190b9d9db7914240410 |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:08 a.m.