Triple
T16217417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PAGASA |
E393628
|
entity |
| Predicate | typeOfWeatherWarningsIssued |
P57677
|
FINISHED |
| Object | tropical cyclone warnings |
—
|
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 cyclone warnings | Statement: [PAGASA, typeOfWeatherWarningsIssued, tropical cyclone warnings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfWeatherWarningsIssued Context triple: [PAGASA, typeOfWeatherWarningsIssued, tropical cyclone warnings]
-
A.
emergencyAlertType
chosen
Indicates the specific category or kind of emergency associated with an alert.
-
B.
hasSevereWeatherRisk
Indicates that an entity is exposed to or associated with a high likelihood of severe or hazardous weather conditions.
-
C.
typeOfForecasts
Indicates the specific kinds or categories of forecasts associated with or produced by an entity.
-
D.
allWeatherCapability
Indicates that an entity is capable of operating effectively under all weather conditions.
-
E.
isWeatherProtected
Indicates that an entity is shielded from or resistant to adverse weather 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f76f748190831d230d32c18611 |
completed | April 17, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.