Triple
T2281023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paryushana |
E51278
|
entity |
| Predicate | importantPhrase |
P1887
|
FINISHED |
| Object | Micchami Dukkadam |
—
|
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: Micchami Dukkadam | Statement: [Paryushana, importantPhrase, Micchami Dukkadam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: importantPhrase Context triple: [Paryushana, importantPhrase, Micchami Dukkadam]
-
A.
usedPhrase
Indicates that one entity employed or expressed a particular phrase in speech, writing, or another form of communication.
-
B.
importantSaint
Indicates that the subject is recognized as a particularly significant or highly revered saint within a religious or spiritual tradition.
-
C.
isImportantFor
chosen
Indicates that something holds significant value, relevance, or necessity in relation to something else.
-
D.
titlePhrase
Indicates that one entity is a phrase functioning as the title or name of another entity.
-
E.
meaningOfPhrase
Indicates that one entity expresses or defines the semantic content or interpretation of a given phrase.
- 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc21ac3d48190abef254e1c3f45e8 |
completed | March 7, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69abbdb9aa3c819088d0316c5269a1c2 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.