Triple
T28858848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naegleria fowleri |
E728806
|
entity |
| Predicate | diseaseDuration |
P51072
|
FINISHED |
| Object | usually 3 to 7 days after symptom onset |
—
|
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: usually 3 to 7 days after symptom onset | Statement: [Naegleria fowleri, diseaseDuration, usually 3 to 7 days after symptom onset]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diseaseDuration Context triple: [Naegleria fowleri, diseaseDuration, usually 3 to 7 days after symptom onset]
-
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.
durationOfUse
Indicates the length of time for which something is used or remains in use.
-
D.
diseaseCourse
Indicates the progression and temporal pattern of a disease in an individual or population, including onset, development, and outcome over time.
-
E.
durationInYears
Indicates the length of time associated with something, measured in whole or fractional years.
- 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_69f0319f4e5481909e4c439dbe8be940 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 6:46 a.m.