Triple
T34022272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Micchami Dukkadam |
E872410
|
entity |
| Predicate | partOfPractice |
P36589
|
FINISHED |
| Object | daily or periodic pratikraman 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: daily or periodic pratikraman rituals | Statement: [Micchami Dukkadam, partOfPractice, daily or periodic pratikraman rituals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfPractice Context triple: [Micchami Dukkadam, partOfPractice, daily or periodic pratikraman rituals]
-
A.
partOfProfessionalPracticeOf
Indicates that something is a component or integral element of a particular professional’s regular practice or work activities.
-
B.
settingOfPractice
Indicates the context or environment in which a particular practice, activity, or procedure is carried out.
-
C.
placeOfPractice
Indicates the location where an individual or organization regularly carries out their professional activities or services.
-
D.
periodOfPractice
Indicates the span of time during which an activity, role, or practice is carried out.
-
E.
practiceElement
chosen
Indicates that one entity is a component, step, or sub-activity within a broader practice or procedure involving another entity.
- 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_69f349a19ad88190ab586f010c804a8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a00262d71488190a769783fb09e5803 |
completed | May 10, 2026, 6:31 a.m. |
| PD | Predicate disambiguation | batch_6a0023985f148190a335a3fb93e9981e |
completed | May 10, 2026, 6:20 a.m. |
Created at: May 1, 2026, 1:51 a.m.