Triple
T30624434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhikkhu |
E779532
|
entity |
| Predicate | takesRefugeIn |
P101706
|
FINISHED |
| Object | Buddha |
—
|
NE NERFINISHED |
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: Buddha | Statement: [Bhikkhu, takesRefugeIn, Buddha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: takesRefugeIn Context triple: [Bhikkhu, takesRefugeIn, Buddha]
-
A.
tookRefugeWith
Indicates that one entity sought safety, protection, or shelter by going to and staying with another entity.
-
B.
takenAsRefugeBy
chosen
Indicates that one entity is used or relied upon by another entity as a place or source of safety, protection, or refuge.
-
C.
seeksRefugeFrom
Indicates that one entity actively looks for safety, protection, or shelter in order to escape or avoid another entity.
-
D.
relativeShelterFrom
Indicates that one entity provides shelter or protection for another entity relative to some reference condition, location, or alternative.
-
E.
designatedAsRefuge
Indicates that an entity has been officially assigned or recognized as a refuge or place of protection.
- 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_69f224a431548190a44ad9d088dbf91f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a18eee08190b6d3d752e1685177 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:27 p.m.