Triple
T17450542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Lewis |
E424900
|
entity |
| Predicate | maximumSurfaceElevation |
P99098
|
FINISHED |
| Object | about 370 meters above sea level |
—
|
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: about 370 meters above sea level | Statement: [Lake Lewis, maximumSurfaceElevation, about 370 meters above sea level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumSurfaceElevation Context triple: [Lake Lewis, maximumSurfaceElevation, about 370 meters above sea level]
-
A.
elevationAboveWater
Indicates the vertical distance by which one entity is positioned above the surface level of a body of water.
-
B.
peakElevationMetres
chosen
Indicates the maximum height of an entity above sea level, measured in metres.
-
C.
maximumWaterDepth
Indicates the greatest depth of water present or allowed in a given context, such as a location, container, or body of water.
-
D.
maximumHeightAboveSeafloor
Indicates the greatest vertical distance between an object or feature and the seafloor beneath it.
-
E.
damCrestElevation
Indicates the height of the top (crest) of a dam above a specified reference level, typically sea level.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4513d00f48190802a3bdc8c8f4db5 |
completed | April 19, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.