Triple
T27883917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalapaki Beach |
E705170
|
entity |
| Predicate | waterTemperatureClimate |
P176297
|
FINISHED |
| Object | tropical |
—
|
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: tropical | Statement: [Kalapaki Beach, waterTemperatureClimate, tropical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterTemperatureClimate Context triple: [Kalapaki Beach, waterTemperatureClimate, tropical]
-
A.
waterTemperatureType
Indicates the classification or category of a water body’s temperature (e.g., cold, warm, hot) associated with an entity or context.
-
B.
waterTemperatureComparedTo
Indicates how the temperature of one body or sample of water compares to the temperature of another.
-
C.
waterTemperatureInfluencedBy
Indicates that the temperature of water is affected or altered by another factor, condition, or entity.
-
D.
livesInWaterTemperature
Indicates that an entity inhabits or exists in water characterized by a specific temperature or temperature range.
-
E.
hasAverageSummerWaterTemperature
Indicates that an entity is associated with a specific mean water temperature measured over the summer season.
- 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f6dfcafd0c81908d86662948c539d6 |
completed | May 3, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6df418f488190a5e7ff41f32dceda |
completed | May 3, 2026, 5:38 a.m. |
Created at: April 27, 2026, 6:31 p.m.