Triple
T808014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulf of Aden |
E17479
|
entity |
| Predicate | surfaceCurrent |
P21275
|
FINISHED |
| Object | seasonally reversing monsoon-driven currents |
—
|
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: seasonally reversing monsoon-driven currents | Statement: [Gulf of Aden, surfaceCurrent, seasonally reversing monsoon-driven currents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceCurrent Context triple: [Gulf of Aden, surfaceCurrent, seasonally reversing monsoon-driven currents]
-
A.
surfaceAccess
Indicates that one entity provides a means for another entity to reach, enter, or interact with a surface or outer layer.
-
B.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
-
C.
surfaceBehavior
Indicates how an entity behaves or interacts specifically at or on its surface.
-
D.
surfaceFreezesPartiallyIn
Indicates that a surface undergoes a freezing process in which only part of it becomes frozen within a given medium, environment, or container.
-
E.
playsOnSurface
Indicates that an entity performs or engages in an activity while being in contact with or supported by a particular surface.
- F. None of above. chosen
Provenance (4 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ac07fedc8190ab05595f25c1792f |
completed | March 1, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7221c081908068e66fe720f26d |
completed | March 1, 2026, 9:06 p.m. |
| PDg | Predicate description generation | batch_69a4ac0688708190b62ac0a8239ec8c8 |
completed | March 1, 2026, 9:13 p.m. |
Created at: March 1, 2026, 7:38 p.m.