Triple
T27494229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ubosot |
E693978
|
entity |
| Predicate | governsRituals |
P34819
|
FINISHED |
| Object | ordination of bhikkhus |
—
|
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: ordination of bhikkhus | Statement: [Ubosot, governsRituals, ordination of bhikkhus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governsRituals Context triple: [Ubosot, governsRituals, ordination of bhikkhus]
-
A.
ritualsDirectedAt
Indicates that certain rituals are performed with a specific entity, object, or target as their intended focus or recipient.
-
B.
ritualActivities
Indicates that one entity engages in, performs, or is associated with ritualistic or ceremonial activities in relation to another entity or context.
-
C.
ritualCategory
Indicates the classification relationship that assigns a ritual to a specific ritual type or category.
-
D.
ritualStructure
chosen
Indicates a relationship where an entity is a structure or built feature specifically used for performing rituals or ceremonial practices.
-
E.
hasRituals
Indicates that one entity performs, observes, or is associated with specific rituals in relation to another entity or context.
- 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_69ef5382b9648190be0b1ef2ad5d043c |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fdb45537288190b6791078d4a6899f |
completed | May 8, 2026, 10 a.m. |
| PD | Predicate disambiguation | batch_69fdb39ad96481908376d7def9fafc13 |
completed | May 8, 2026, 9:57 a.m. |
Created at: April 27, 2026, 1:07 p.m.