Triple
T2909868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Tropics Hazards Outlook |
E63654
|
entity |
| Predicate | providesInformationType |
P39680
|
FINISHED |
| Object | probabilistic hazard guidance |
—
|
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: probabilistic hazard guidance | Statement: [Global Tropics Hazards Outlook, providesInformationType, probabilistic hazard guidance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesInformationType Context triple: [Global Tropics Hazards Outlook, providesInformationType, probabilistic hazard guidance]
-
A.
providesInformationIn
Indicates that one entity supplies or conveys information within or through another entity or context.
-
B.
collectsInformationOn
Indicates that one entity gathers or acquires data, facts, or details about another entity.
-
C.
requiredInformation
Indicates that certain data or details are necessary and must be provided for a process, action, or relationship to proceed or be valid.
-
D.
knowledgeType
Indicates the specific category or nature of knowledge associated with an entity or statement (e.g., factual, procedural, conceptual).
-
E.
informationTypeHandled
chosen
Indicates that an entity is responsible for processing, managing, or dealing with a particular type or category of information.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0e899808190a348e1e71116d0a5 |
completed | March 7, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69abdd1b77608190b20fc078fdb85e64 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:11 p.m.