Triple
T16112369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Algar do Carvão |
E390910
|
entity |
| Predicate | undergroundLakeDepth |
P43725
|
FINISHED |
| Object | seasonally variable |
—
|
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: seasonally variable | Statement: [Algar do Carvão, undergroundLakeDepth, seasonally variable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: undergroundLakeDepth Context triple: [Algar do Carvão, undergroundLakeDepth, seasonally variable]
-
A.
lakeMaximumDepth
Indicates the greatest recorded vertical distance from the lake’s surface to its deepest point.
-
B.
hasUndergroundDepth
chosen
Indicates that one entity has a specified vertical extent or depth located below the ground surface relative to another reference or context.
-
C.
craterLakeDepth
Indicates the depth measurement of a crater lake, typically from its surface to the deepest point.
-
D.
depthBelowSurfaceInMeters
Indicates the vertical distance, measured in meters, that something is located below a reference surface level.
-
E.
maximumDepthBelowSeaLevel
Indicates the greatest vertical distance an entity extends or reaches below 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20167ee1481909e56dc632bfc0fc5 |
completed | April 17, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e1828518c48190a8ef3aaa46a1f639 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5 a.m.