Triple
T34504278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jivitputrika Vrat |
E885839
|
entity |
| Predicate | practitionerDemographic |
P179422
|
FINISHED |
| Object | married women |
—
|
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: married women | Statement: [Jivitputrika Vrat, practitionerDemographic, married women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: practitionerDemographic Context triple: [Jivitputrika Vrat, practitionerDemographic, married women]
-
A.
practitionerType
Indicates the specific category or role of practitioner associated with an entity (e.g., doctor, nurse, therapist).
-
B.
practitionerTitle
Indicates the professional title or designation held by a practitioner in the context of their role or practice.
-
C.
linksPractitionerTo
Indicates a relationship that connects or associates a practitioner with another relevant entity (such as a person, organization, or resource).
-
D.
medicalSystemPracticed
Indicates that a particular medical system or tradition is practiced, applied, or followed by an entity (such as a person, organization, or region).
-
E.
primaryPractitioners
Indicates the entities that are the main or most directly responsible practitioners of a given activity, field, or practice in relation to another entity.
- 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_69f349cc0220819081f154c6964f4dc2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f720cc1bfc8190a16118e3af8e9316 |
completed | May 3, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71fb0172c81908f23e95ff16b0dec |
completed | May 3, 2026, 10:13 a.m. |
Created at: May 1, 2026, 2:01 a.m.