Triple
T23765203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annamaya kośa |
E587357
|
entity |
| Predicate | goalOfPracticeRegarding |
P138866
|
FINISHED |
| Object | disidentification from physical body |
—
|
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: disidentification from physical body | Statement: [Annamaya kośa, goalOfPracticeRegarding, disidentification from physical body]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalOfPracticeRegarding Context triple: [Annamaya kośa, goalOfPracticeRegarding, disidentification from physical body]
-
A.
goalInPractice
chosen
Indicates that a particular goal is pursued, applied, or worked toward within the context of a practice or training activity.
-
B.
goalOfRealization
Indicates the intended outcome or objective that an action, process, or plan is meant to bring into reality or achieve.
-
C.
goalType
Indicates the specific category or nature of a goal associated with an entity or action.
-
D.
goalOfTrials
Indicates that the specified goal is the intended objective or outcome that the trials are designed to achieve or evaluate.
-
E.
coreGoalTaught
Indicates that a fundamental or primary goal is explicitly taught or conveyed to someone.
- 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.