Triple
T15854025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kafireas Strait |
E384408
|
entity |
| Predicate | hasOceanographicCondition |
P13023
|
FINISHED |
| Object | strong seasonal winds (Meltemi) |
—
|
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: strong seasonal winds (Meltemi) | Statement: [Kafireas Strait, hasOceanographicCondition, strong seasonal winds (Meltemi)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOceanographicCondition Context triple: [Kafireas Strait, hasOceanographicCondition, strong seasonal winds (Meltemi)]
-
A.
hasOceanType
Indicates that a body of water is classified as belonging to a particular type of ocean or oceanic category.
-
B.
hasSeaCondition
chosen
Indicates that an entity is associated with or characterized by a particular state or condition of the sea.
-
C.
hasOcean
Indicates that a geographic region, country, or landmass is bordered by or directly adjacent to a particular ocean.
-
D.
oceanState
Indicates the condition or status of an ocean (such as calmness, turbulence, or other physical characteristics) at a given time or location.
-
E.
oceanPresence
Indicates that an entity is located in, adjacent to, or significantly influenced by an ocean.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:50 a.m.