Triple
T23057690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telašćica Bay area |
E574202
|
entity |
| Predicate | hasLakeSalinity |
P4654
|
FINISHED |
| Object | higher than surrounding sea |
—
|
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: higher than surrounding sea | Statement: [Telašćica Bay area, hasLakeSalinity, higher than surrounding sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLakeSalinity Context triple: [Telašćica Bay area, hasLakeSalinity, higher than surrounding sea]
-
A.
hasSalinityRange
Indicates the range of salinity values within which something (such as a substance, environment, or organism) is present, applicable, or able to function.
-
B.
hasSalinityType
Indicates the type or category of salinity associated with an entity, such as its salinity level or classification.
-
C.
salinity
Indicates the concentration of dissolved salts present in or affecting something, typically a body of water or environment.
-
D.
hasSalinityIssue
Indicates that an entity is affected by or associated with a problem related to salinity levels.
-
E.
hasHigherSalinityThan
chosen
Indicates that one entity has a greater concentration of dissolved salts than 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18681bec48190a8226b3d89d19b9f |
completed | April 29, 2026, 4:18 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
Created at: April 17, 2026, 3:55 p.m.