Triple
T371443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yosemite Falls |
E8277
|
entity |
| Predicate | worldRankingByHeight |
P2472
|
FINISHED |
| Object | among tallest waterfalls in North America |
—
|
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: among tallest waterfalls in North America | Statement: [Yosemite Falls, worldRankingByHeight, among tallest waterfalls in North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldRankingByHeight Context triple: [Yosemite Falls, worldRankingByHeight, among tallest waterfalls in North America]
-
A.
rankByHeightWorld
chosen
Indicates an ordering of entities based on their relative height compared to all others in the world.
-
B.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
C.
rankInNorthAmericaByElevation
Indicates the relative position of a place in an ordered list of locations in North America based on their elevation.
-
D.
highestPillarApproximateHeight
Indicates the estimated height value of the tallest pillar in a given context or structure.
-
E.
highestPeakClimbed
Indicates the tallest mountain or peak that an entity has successfully climbed.
- 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec00785481908551fc3571fcca47 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e960d880819084b3df4e5137a1e2 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.