Triple
T437477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Falls of the Potomac |
E10041
|
entity |
| Predicate | elevationDropApprox |
P6813
|
FINISHED |
| Object | 20 meters |
—
|
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: 20 meters | Statement: [Great Falls of the Potomac, elevationDropApprox, 20 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationDropApprox Context triple: [Great Falls of the Potomac, elevationDropApprox, 20 meters]
-
A.
elevation
Indicates the vertical height or altitude of one entity relative to a reference level or another entity.
-
B.
elevationType
Indicates the kind or classification of elevation associated with an entity, such as how its height or altitude is characterized.
-
C.
elevationChange
chosen
Indicates a change in vertical position or altitude between two points or states.
-
D.
typicalElevationRange
Indicates the usual range of elevation values within which something commonly occurs or exists.
-
E.
notableAscent
Indicates that an entity is recognized for a significant rise, climb, or upward journey, such as an important ascent of a mountain or similar elevation.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef26bb78819089b3b5dac0330619 |
completed | Feb. 28, 2026, 1:35 p.m. |
| PD | Predicate disambiguation | batch_69a2eddb98e081909efcf9f0a955a908 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.