Triple
T32526332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Influenza |
E831323
|
entity |
| Predicate | usualDiseaseDuration |
P51072
|
FINISHED |
| Object | about 1 week |
—
|
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 1 week | Statement: [Influenza, usualDiseaseDuration, about 1 week]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usualDiseaseDuration Context triple: [Influenza, usualDiseaseDuration, about 1 week]
-
A.
durationOfAffliction
chosen
Indicates the length of time that an affliction or condition persists for an entity.
-
B.
treatmentDuration
Indicates the length of time over which a particular treatment is administered or remains in effect.
-
C.
diseaseCourse
Indicates the progression and temporal pattern of a disease in an individual or population, including onset, development, and outcome over time.
-
D.
recoveryDuration
Indicates the length of time required for an entity to return to a normal or functional state after an event, condition, or disruption.
-
E.
typicalDurationInAdults
Indicates the usual length of time this condition, event, or process lasts in adult individuals.
- 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_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:01 a.m.