Triple
T14598610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paracelsian iatrochemistry |
E342642
|
entity |
| Predicate | viewsDiseaseAs |
P108226
|
FINISHED |
| Object | chemical imbalance |
—
|
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: chemical imbalance | Statement: [Paracelsian iatrochemistry, viewsDiseaseAs, chemical imbalance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewsDiseaseAs Context triple: [Paracelsian iatrochemistry, viewsDiseaseAs, chemical imbalance]
-
A.
viewOnIllness
Indicates the perspective, belief, or attitude that one entity holds about the nature, cause, or meaning of an illness affecting another entity.
-
B.
interpretsDiseaseAs
chosen
Indicates that one entity understands, explains, or conceptualizes a disease in terms of another entity (such as a model, category, cause, or interpretation).
-
C.
diseaseVector
Indicates that one entity serves as a carrier or transmitter that spreads a disease-causing agent to another entity.
-
D.
modelForDisease
Indicates that one entity serves as an experimental or representative model used to study, simulate, or understand a particular disease in another entity.
-
E.
diseaseType
Indicates that one entity is classified as a specific type or category of disease in relation to another entity.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb436d92881908fdf9267568feee2 |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656a953481909a4645b004c40de7 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:25 a.m.