Triple
T22850324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manipuri classical dance |
E566338
|
entity |
| Predicate | codifiedThrough |
P149942
|
FINISHED |
| Object | temple 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: temple rituals | Statement: [Manipuri classical dance, codifiedThrough, temple rituals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codifiedThrough Context triple: [Manipuri classical dance, codifiedThrough, temple rituals]
-
A.
codifiedIn
Indicates that something is formally recorded, defined, or established within a specific document, code, or legal/institutional text.
-
B.
codifiedUnderAuthority
Indicates that something has been formally established, defined, or recorded according to the rules or power of a specific authority.
-
C.
codificationProjectOf
Indicates that something is a codification project whose purpose is to formalize, systematize, or consolidate the subject entity (such as a body of rules, knowledge, or practices).
-
D.
codifiedAsNoteTo
Indicates that something has been formally recorded or represented in the form of a note directed to a particular recipient or target.
-
E.
codificationLevel
Indicates the degree or extent to which something is formally systematized, standardized, or encoded into an explicit set of rules or structures.
- F. None of above. chosen
Provenance (4 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17eb74700819090d191b3a7a17034 |
completed | April 29, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69eed2d507c08190895ed971af0fc755 |
completed | April 27, 2026, 3:07 a.m. |
| PDg | Predicate description generation | batch_69eeeb577e2081909f4a4e9c296535c0 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:36 p.m.