Triple
T6969052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siddha medicine |
E161556
|
entity |
| Predicate | includesTherapy |
P73562
|
FINISHED |
| Object | varmam therapy |
—
|
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: varmam therapy | Statement: [Siddha medicine, includesTherapy, varmam therapy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesTherapy Context triple: [Siddha medicine, includesTherapy, varmam therapy]
-
A.
therapeuticOrientation
Indicates the specific therapeutic approach or framework a practitioner uses when providing psychological or counseling treatment.
-
B.
hasTherapeuticGoal
Indicates that an action, treatment, or intervention is undertaken with the intention of achieving a specific therapeutic or health-related outcome.
-
C.
supportsTreatmentType
Indicates that one entity is capable of providing, handling, or is compatible with a specified type of treatment.
-
D.
typeOfAdvancedTherapiesAssessed
Indicates that an entity has evaluated or examined specific kinds of advanced therapies (such as gene, cell, or tissue-based treatments).
-
E.
importTreatment
Indicates that one entity brings or transfers a treatment or therapeutic intervention into another context, system, or location for use or application.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db152b2081909271493a5d1469fb |
completed | March 27, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c262508190a7708b3d9cf23d7c |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8e2d7b48190b37bb13984663cde |
completed | March 27, 2026, 7:22 p.m. |
Created at: March 27, 2026, 2:30 p.m.