Triple
T3394971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Shore (Oahu) |
E71505
|
entity |
| Predicate | waveHeightInWinter |
P41302
|
FINISHED |
| Object | often exceeds 20 feet |
—
|
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: often exceeds 20 feet | Statement: [North Shore (Oahu), waveHeightInWinter, often exceeds 20 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waveHeightInWinter Context triple: [North Shore (Oahu), waveHeightInWinter, often exceeds 20 feet]
-
A.
waveHeightsCanReach
chosen
Indicates that the heights of waves are capable of attaining or reaching a specified magnitude or level.
-
B.
waveType
Indicates the specific kind or category of wave associated with an entity or interaction (e.g., type of signal, motion, or oscillation).
-
C.
stormSurgeHeight_feet
Indicates the height of the storm surge, measured in feet, typically above a defined reference level such as normal tide.
-
D.
averageWinterHighF
Indicates the typical or mean high temperature, measured in degrees Fahrenheit, during the winter season for the referenced entity.
-
E.
typicalIceThickness
Indicates the usual or characteristic thickness of ice under normal or representative conditions.
- 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_69ad85a9c4a88190a854019341cb3b60 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb85487088190b8a4ec546ff8a461 |
completed | March 8, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69adadf705608190975423779430cc58 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:14 p.m.