Triple
T32382158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatsu basho |
E827450
|
entity |
| Predicate | openingRituals |
P70955
|
FINISHED |
| Object | dohyō-iri ring-entering ceremony |
—
|
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: dohyō-iri ring-entering ceremony | Statement: [Hatsu basho, openingRituals, dohyō-iri ring-entering ceremony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingRituals Context triple: [Hatsu basho, openingRituals, dohyō-iri ring-entering ceremony]
-
A.
initiatesRitual
Indicates that one entity begins or sets in motion a ritual involving one or more other entities.
-
B.
ritualsDirectedAt
Indicates that certain rituals are performed with a specific entity, object, or target as their intended focus or recipient.
-
C.
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.
-
D.
hasRituals
chosen
Indicates that one entity performs, observes, or is associated with specific rituals 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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 1, 2026, 12:51 a.m.