Triple
T7337610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etesian winds |
E169167
|
entity |
| Predicate | seaStateEffect |
P13023
|
FINISHED |
| Object | creates steep short-period waves in Aegean 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: creates steep short-period waves in Aegean Sea | Statement: [Etesian winds, seaStateEffect, creates steep short-period waves in Aegean Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seaStateEffect Context triple: [Etesian winds, seaStateEffect, creates steep short-period waves in Aegean Sea]
-
A.
hasSeaCondition
chosen
Indicates that an entity is associated with or characterized by a particular state or condition of the sea.
-
B.
seaOf
Indicates a relationship where one entity is metaphorically or literally surrounded or filled by another like a vast sea, emphasizing overwhelming abundance or expansiveness.
-
C.
oceanInfluence
Indicates how the presence, properties, or behavior of an ocean affects another entity, condition, or process.
-
D.
seaType
Indicates the specific classification or category of a sea associated with an entity.
-
E.
effectOnShips
Indicates the impact or influence that one entity, event, or condition has on ships.
- 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_69c68a568a6481908f11e20db7bc8446 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f028fd748190b2ea5c3081958a42 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:04 p.m.