Triple
T35497930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitāb al-bāh |
E1025918
|
entity |
| Predicate | medicalFramework |
P150732
|
FINISHED |
| Object | humoral balance and temperament (mizāj) |
—
|
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: humoral balance and temperament (mizāj) | Statement: [Kitāb al-bāh, medicalFramework, humoral balance and temperament (mizāj)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medicalFramework Context triple: [Kitāb al-bāh, medicalFramework, humoral balance and temperament (mizāj)]
-
A.
medicalField
Indicates that one entity is a branch or specialty of medicine in which the other entity is practiced, studied, or categorized.
-
B.
medicalBackground
Indicates that an entity has a history of prior medical conditions, treatments, or health-related experiences relevant to its current state or context.
-
C.
clinicalForm
Indicates the specific clinical manifestation or presentation type associated with a medical condition or case.
-
D.
medicalSystemPracticed
chosen
Indicates that a particular medical system or tradition is practiced, applied, or followed by an entity (such as a person, organization, or region).
-
E.
medicalPractice
Indicates a relationship where an entity engages in or carries out the professional provision of medical care or services.
- 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_69f76dfc9c60819089c4217d93922615 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.