Triple
T13692675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tropical Indian Ocean |
E328306
|
entity |
| Predicate | hasMeanSST |
P3634
|
FINISHED |
| Object | above 26°C in large areas |
—
|
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: above 26°C in large areas | Statement: [tropical Indian Ocean, hasMeanSST, above 26°C in large areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMeanSST Context triple: [tropical Indian Ocean, hasMeanSST, above 26°C in large areas]
-
A.
hasMean
chosen
Indicates that one entity possesses, exhibits, or is characterized by a particular mean value or average.
-
B.
hasStationaryMean
Indicates that the associated process or variable has a mean value that does not change over time.
-
C.
hasMeanDensity
Indicates that one entity possesses a specified average mass per unit volume (mean density).
-
D.
hasStatistics
Indicates that an entity is associated with one or more statistical measures, records, or summaries describing its quantitative properties or performance.
-
E.
hasTestStatistic
Indicates that a given test or analysis is associated with a specific numerical test statistic value.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8757b648190a26181efbad09a43 |
completed | April 12, 2026, 4:29 p.m. |
| PD | Predicate disambiguation | batch_69dbbe9059488190a8113177c83e1481 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:53 p.m.