Triple
T9979914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meoto Iwa |
E196423
|
entity |
| Predicate | maintenanceRitual |
P4193
|
FINISHED |
| Object | regular shimenawa replacement ceremonies |
—
|
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: regular shimenawa replacement ceremonies | Statement: [Meoto Iwa, maintenanceRitual, regular shimenawa replacement ceremonies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maintenanceRitual Context triple: [Meoto Iwa, maintenanceRitual, regular shimenawa replacement ceremonies]
-
A.
hasRitual
chosen
Indicates that an entity performs, observes, or is associated with a specific ritual or ceremonial practice.
-
B.
partOfRitual
Indicates that an action, object, or event is included as a component or step within a larger ritual.
-
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.
hasRituals
Indicates that one entity performs, observes, or is associated with specific rituals in relation to another entity or context.
-
E.
mainRitualTime
Indicates the time at which the primary or central ritual is performed.
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb8b9aca881908a9b5dfd7e0de4ba |
completed | April 2, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:49 p.m.