Triple
T27005079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sekai Kyusei-kyo |
E680219
|
entity |
| Predicate | hasCoreTeaching |
P15020
|
FINISHED |
| Object | spiritual healing |
—
|
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 healing | Statement: [Sekai Kyusei-kyo, hasCoreTeaching, spiritual healing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoreTeaching Context triple: [Sekai Kyusei-kyo, hasCoreTeaching, spiritual healing]
-
A.
containsTeachingOf
Indicates that one entity includes, embodies, or presents the teaching, doctrine, or instructional content associated with another entity.
-
B.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
-
C.
coreTeaching
chosen
Indicates that an entity serves as a primary or foundational teaching or instructional activity for another entity.
-
D.
hasTeachingMode
Indicates that an entity is associated with a particular method, style, or mode of teaching or instruction.
-
E.
hasTeachingContext
Indicates that an entity is associated with a specific educational or instructional setting in which teaching occurs.
- 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_69eeeb53939c8190bd431f32b060f01f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69fea5e828cc8190a9b755a645dc56d2 |
completed | May 9, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69fea36443f08190b2aced9b4a0525fd |
completed | May 9, 2026, 3 a.m. |
Created at: April 27, 2026, 7 a.m.