Triple
T12081837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lac Pavin |
E287697
|
entity |
| Predicate | waterStratification |
P85490
|
FINISHED |
| Object | oxygenated surface layer |
—
|
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: oxygenated surface layer | Statement: [Lac Pavin, waterStratification, oxygenated surface layer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterStratification Context triple: [Lac Pavin, waterStratification, oxygenated surface layer]
-
A.
hasStratifiedWaterColumn
chosen
Indicates that a body of water exhibits vertical layering of distinct water masses, typically differing in properties such as temperature, salinity, or density.
-
B.
waterFilled
Indicates that one entity is filled or occupied with water, typically to a certain level or capacity.
-
C.
waterCondition
Indicates the state or quality of water affecting an entity, such as its cleanliness, safety, or suitability for a particular use.
-
D.
waterColumnZone
Indicates the specific vertical region or layer within a body of water where an entity or process is located or occurs.
-
E.
waterColor
Indicates that one entity is the color or hue characteristic of water associated with another entity.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bf4f508190842927e7e0642235 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:48 p.m.