Triple
T34154328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caspian lowland |
E876089
|
entity |
| Predicate | seaLevelRelation |
P8806
|
FINISHED |
| Object | below global ocean level in many areas |
—
|
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: below global ocean level in many areas | Statement: [Caspian lowland, seaLevelRelation, below global ocean level in many areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seaLevelRelation Context triple: [Caspian lowland, seaLevelRelation, below global ocean level in many areas]
-
A.
seaLevelCharacteristic
chosen
Indicates a characteristic, property, or attribute specifically related to sea level.
-
B.
hasElevationRelativeToSeaLevel
Indicates the elevation or height of an entity measured relative to mean sea level.
-
C.
elevationAboveWater
Indicates the vertical distance by which one entity is positioned above the surface level of a body of water.
-
D.
hasRiskLevelComparedToNearbySea
Indicates the relative level of risk an entity has when compared to the nearby sea, such as in terms of exposure, danger, or vulnerability.
-
E.
emergedAboveSeaLevel
Indicates that something rose or became exposed above the surface of the sea from a previously submerged or lower position.
- 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_69f349abaa508190a820f206620efddc |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:54 a.m.