Triple
T17858355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oahu South Shore surf spots |
E445998
|
entity |
| Predicate | waveSource |
P129032
|
FINISHED |
| Object | southern hemisphere swells |
—
|
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: southern hemisphere swells | Statement: [Oahu South Shore surf spots, waveSource, southern hemisphere swells]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waveSource Context triple: [Oahu South Shore surf spots, waveSource, southern hemisphere swells]
-
A.
waveType
Indicates the specific kind or category of wave associated with an entity or interaction (e.g., type of signal, motion, or oscillation).
-
B.
waveColor
Indicates the color associated with a particular wave (e.g., light or electromagnetic wave) in the described context.
-
C.
noiseSource
Indicates that one entity is the origin or producer of a particular noise affecting another entity or the environment.
-
D.
waveCharacteristic
Indicates that one entity specifies or describes a particular property or feature of a wave associated with another entity.
-
E.
waveDirection
Indicates the direction in which a wave is propagating or traveling relative to a reference frame.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4978e68ec8190a4306f7b7bb058d7 |
completed | April 19, 2026, 8:51 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:17 a.m.