Triple
T23033985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahendralal Sarkar |
E573543
|
entity |
| Predicate | medicalSystemPracticed |
P150732
|
FINISHED |
| Object | allopathic medicine |
—
|
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: allopathic medicine | Statement: [Mahendralal Sarkar, medicalSystemPracticed, allopathic medicine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medicalSystemPracticed Context triple: [Mahendralal Sarkar, medicalSystemPracticed, allopathic medicine]
-
A.
medicalPractice
Indicates a relationship where an entity engages in or carries out the professional provision of medical care or services.
-
B.
practicedMedicineIn
Indicates that a person engaged in the professional practice of medicine within a specified location or jurisdiction.
-
C.
placeOfPractice
Indicates the location where an individual or organization regularly carries out their professional activities or services.
-
D.
clinicalSetting
Indicates that an action, observation, or interaction occurs within a healthcare or medical care environment.
-
E.
medicalAffiliation
Indicates a formal professional or institutional relationship between an entity and a medical organization, such as employment, membership, or clinical association.
- F. None of above. chosen
Provenance (4 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18483e5848190977b1bdb1b83d187 |
completed | April 29, 2026, 4:09 a.m. |
| PD | Predicate disambiguation | batch_69ef3ba004a48190885aece88efd1f52 |
completed | April 27, 2026, 10:34 a.m. |
| PDg | Predicate description generation | batch_69ef538b29c081908fa56ee35a1dcee7 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:53 p.m.