Triple
T30624405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhikkhu |
E779532
|
entity |
| Predicate | dedicatesLifeTo |
P172527
|
FINISHED |
| Object | spiritual practice |
—
|
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: spiritual practice | Statement: [Bhikkhu, dedicatesLifeTo, spiritual practice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dedicatesLifeTo Context triple: [Bhikkhu, dedicatesLifeTo, spiritual practice]
-
A.
inspiredDedicationOf
Indicates that one entity’s dedication, commitment, or devoted effort is motivated, sparked, or strengthened by another entity.
-
B.
dedicatedToFamily
Indicates that an entity consistently prioritizes and commits time, effort, or resources to the well-being and support of their family.
-
C.
oftenDedicatedTo
Indicates that something is frequently or habitually devoted, assigned, or committed to a particular purpose, activity, or recipient.
-
D.
dedicatedToOccupation
Indicates that an entity is committed or devoted to performing or pursuing a particular occupation or professional role.
-
E.
givesLifeTo
Indicates a relationship where one entity causes, enables, or sustains the existence, vitality, or functioning of another.
- 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_69f224a431548190a44ad9d088dbf91f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6ac1ed23c8190ace57ffc9d8a3dc6 |
completed | May 3, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aba8fba48190bc1a17117244cae1 |
completed | May 3, 2026, 1:58 a.m. |
Created at: April 29, 2026, 8:27 p.m.