Triple
T35171501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maldives coast |
E1015556
|
entity |
| Predicate | averageSeaSurfaceTemperature |
P4814
|
FINISHED |
| Object | about 28–30 °C |
—
|
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: about 28–30 °C | Statement: [Maldives coast, averageSeaSurfaceTemperature, about 28–30 °C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageSeaSurfaceTemperature Context triple: [Maldives coast, averageSeaSurfaceTemperature, about 28–30 °C]
-
A.
seaSurfaceTemperatureCharacteristic
Indicates a relationship where a characteristic or property specifically describes the temperature conditions of the sea surface.
-
B.
requiresSeaSurfaceTemperature
Indicates that one entity depends on or needs a specified sea surface temperature condition to occur, function, or be valid.
-
C.
waterTemperatureClimate
Indicates the relationship between a body of water’s temperature and the prevailing climatic conditions that influence or characterize it.
-
D.
averageTemperature
chosen
Indicates the typical or mean temperature value associated with an entity over a specified period or context.
-
E.
waterTemperatureComparedTo
Indicates how the temperature of one body or sample of water compares to the temperature of another.
- 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_69f76ddbfde081908bffc91572368289 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:02 p.m.