Triple
T15871164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rambu Tuka' |
E384831
|
entity |
| Predicate | ritualDomain |
P76648
|
FINISHED |
| Object | life rituals |
—
|
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: life rituals | Statement: [Rambu Tuka', ritualDomain, life rituals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ritualDomain Context triple: [Rambu Tuka', ritualDomain, life rituals]
-
A.
ritualCategory
chosen
Indicates the classification relationship that assigns a ritual to a specific ritual type or category.
-
B.
ritualSpecialist
Indicates that one entity serves as a designated expert or practitioner responsible for performing or overseeing rituals in relation to another entity or context.
-
C.
ritualEvent
Indicates that an event is a ritual or ceremonial occurrence, typically involving prescribed actions, symbols, or practices performed according to tradition or custom.
-
D.
ritualActivities
Indicates that one entity engages in, performs, or is associated with ritualistic or ceremonial activities in relation to another entity or context.
-
E.
ritualTreatment
Indicates a relationship where an entity performs or undergoes a ritualized act or procedure intended to affect, purify, protect, or transform another entity or condition.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142c3e18c8190bb7b023f4a0eaebb |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:50 a.m.