Triple
T11826584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Jewels of Buddhism |
E281273
|
entity |
| Predicate | takenAsRefugeBy |
P101706
|
FINISHED |
| Object | Buddhists |
—
|
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: Buddhists | Statement: [Three Jewels of Buddhism, takenAsRefugeBy, Buddhists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: takenAsRefugeBy Context triple: [Three Jewels of Buddhism, takenAsRefugeBy, Buddhists]
-
A.
tookRefugeWith
Indicates that one entity sought safety, protection, or shelter by going to and staying with another entity.
-
B.
designatedAsRefuge
Indicates that an entity has been officially assigned or recognized as a refuge or place of protection.
-
C.
seeksRefugeFrom
Indicates that one entity actively looks for safety, protection, or shelter in order to escape or avoid another entity.
-
D.
hasNotableRefuge
Indicates that an entity is associated with a particularly important or well-known place of refuge or shelter.
-
E.
hadSanctuaryOf
Indicates that an entity possessed or hosted a sanctuary dedicated to another entity.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5ec3a148190bb184ba0d481b16a |
completed | April 10, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:43 p.m.