Triple
T32526234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Superflu |
E831321
|
entity |
| Predicate | timeToPandemic |
P135773
|
FINISHED |
| Object | spreads worldwide within weeks |
—
|
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: spreads worldwide within weeks | Statement: [Superflu, timeToPandemic, spreads worldwide within weeks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeToPandemic Context triple: [Superflu, timeToPandemic, spreads worldwide within weeks]
-
A.
timeOfViralSpread
chosen
Indicates the specific time period during which a virus spreads or is transmitted.
-
B.
associatedPandemic
Indicates a relationship where something (such as an event, condition, or entity) is linked or connected to a specific pandemic.
-
C.
timePeriodOfMajorOutbreak
Indicates the time span during which a major outbreak occurred or was most active.
-
D.
yearOfOutbreak
Indicates the specific calendar year in which an outbreak began or was first identified.
-
E.
experiencedEpidemic
Indicates that an entity has undergone or been affected by an epidemic event.
- 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_69f34923e1548190be0524205d8cdf8f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c518439c81908002caf84440dd8a |
completed | May 3, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:01 a.m.