Triple
T19062657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pala |
E466572
|
entity |
| Predicate | mokshaMedicineFunction |
P40313
|
FINISHED |
| Object | facilitates mystical experience |
—
|
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: facilitates mystical experience | Statement: [Pala, mokshaMedicineFunction, facilitates mystical experience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mokshaMedicineFunction Context triple: [Pala, mokshaMedicineFunction, facilitates mystical experience]
-
A.
includesDrugMoksha
Indicates that an entity (such as a product, treatment, or regimen) contains or involves the use of the drug Moksha.
-
B.
medicinalUse
chosen
Indicates that one entity is used as a treatment or remedy for a disease, condition, or health-related purpose affecting another entity.
-
C.
practicedMedicineOfTradition
Indicates that an entity engaged in the medical practices or healing methods associated with a particular cultural or traditional system.
-
D.
typeOfRemedy
Indicates that one entity is a specific kind or category of remedy in relation to another entity.
-
E.
knownForTreatmentOf
Indicates that an entity is recognized or notable for providing treatment or medical care for a particular condition, disease, or type of patient.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e195ac048190a57b57e585d022d4 |
completed | April 20, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.