Triple
T19314647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhaisajyaguru |
E483062
|
entity |
| Predicate | vowTheme |
P135554
|
FINISHED |
| Object | healing of body and mind |
—
|
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: healing of body and mind | Statement: [Bhaisajyaguru, vowTheme, healing of body and mind]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vowTheme Context triple: [Bhaisajyaguru, vowTheme, healing of body and mind]
-
A.
vowDay
Indicates the specific day on which a vow, promise, or solemn commitment is formally made or takes effect.
-
B.
vowPractice
Indicates that an entity engages in or upholds a particular vow, promise, or solemn commitment as an ongoing practice.
-
C.
vowStatus
Indicates the current state or condition of a commitment or promise made between entities, such as whether it is active, fulfilled, or broken.
-
D.
vowResult
Indicates that a vow or solemn promise leads to, results in, or is fulfilled by a particular outcome or state.
-
E.
gameTheme
Indicates the central subject, style, or conceptual focus that characterizes a game.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604cfec8c8190a118b327b1418150 |
completed | April 20, 2026, 10:49 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4e4709d4481908c280cdd2ac18977 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 1:32 p.m.