Triple
T23765241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ānandamaya kośa |
E587358
|
entity |
| Predicate | experientialState |
P2854
|
FINISHED |
| Object | deep contentment |
—
|
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: deep contentment | Statement: [ānandamaya kośa, experientialState, deep contentment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: experientialState Context triple: [ānandamaya kośa, experientialState, deep contentment]
-
A.
experientialFocus
Indicates that the relationship centers on the subjective experience, perception, or felt qualities associated with the related entities or event.
-
B.
mayExperience
Indicates that an entity is capable of undergoing, feeling, or being subject to a particular event, state, or condition.
-
C.
experiences
chosen
Indicates that an entity undergoes, feels, or is affected by a particular event, state, or condition.
-
D.
mentalStateChange
Indicates a change in an entity’s mental or emotional condition from one state to another.
-
E.
stateOfActivity
Indicates the current condition, phase, or status that an activity is in at a given time.
- 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_69e2490b8ac48190a6b35f1d5500486b |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bdb5b0408190b46661d80e37b509 |
completed | April 29, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:15 p.m.