Triple
T14117118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vicks |
E339800
|
entity |
| Predicate | targetSymptom |
P56351
|
FINISHED |
| Object | cough |
—
|
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: cough | Statement: [Vicks, targetSymptom, cough]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetSymptom Context triple: [Vicks, targetSymptom, cough]
-
A.
symptom
Indicates that a particular condition, disease, or problem manifests through a specific observable sign or complaint.
-
B.
viewsSymptoms
Indicates that one entity observes or examines the symptoms associated with another entity.
-
C.
hasPossibleSymptom
chosen
Indicates that an entity (such as a condition or disease) may be associated with a particular symptom that can potentially occur.
-
D.
clinicalSignOf
Indicates that one clinical sign is evidence or manifestation of a particular disease, condition, or underlying medical state.
-
E.
lesionAssociatedWithSymptom
Indicates that a particular lesion is linked to, or occurs together with, a specific symptom.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6010a03c81909f5f160f8d1fa8fa |
completed | April 14, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69de05b2f7e481908a9a7d40153234c0 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:22 p.m.