Triple
T4183969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen’s Surf Beach |
E88264
|
entity |
| Predicate | typicalWaveCondition |
P13023
|
FINISHED |
| Object | small to moderate waves |
—
|
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: small to moderate waves | Statement: [Queen’s Surf Beach, typicalWaveCondition, small to moderate waves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalWaveCondition Context triple: [Queen’s Surf Beach, typicalWaveCondition, small to moderate waves]
-
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.
hasSeaCondition
chosen
Indicates that an entity is associated with or characterized by a particular state or condition of the sea.
-
D.
typicalSeaIceCondition
Indicates the usual or characteristic state or properties of sea ice under normal environmental conditions.
-
E.
waveHeightsCanReach
Indicates that the heights of waves are capable of attaining or reaching a specified magnitude or level.
- 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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af07078cb081909f64326b12522410 |
completed | March 9, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69af019155448190b19868583272513f |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:45 p.m.