Triple
T3703033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wailea Beach |
E80824
|
entity |
| Predicate | hasTypicalWaveEnergy |
P1457
|
FINISHED |
| Object | low to moderate |
—
|
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: low to moderate | Statement: [Wailea Beach, hasTypicalWaveEnergy, low to moderate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalWaveEnergy Context triple: [Wailea Beach, hasTypicalWaveEnergy, low to moderate]
-
A.
typicalEnergyRange
chosen
Indicates the usual or characteristic range of energy values associated with an entity, process, or interaction.
-
B.
hasEnergyRole
Indicates that one entity plays a specific functional role in the production, distribution, management, or use of energy in relation to another entity.
-
C.
waveType
Indicates the specific kind or category of wave associated with an entity or interaction (e.g., type of signal, motion, or oscillation).
-
D.
hasWaveClimate
Indicates a relationship where a location or coastal area is characterized by a particular pattern or regime of wave conditions (such as height, period, and direction).
-
E.
hasEnergyFunction
Indicates that an entity is associated with, governed by, or characterized through a specific energy function.
- 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_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc54925b48190b23d2a14ef825abc |
completed | March 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69adb84eeca48190bb4de637e9f0e27a |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:33 p.m.