Triple
T4512956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uddyotakara |
E102091
|
entity |
| Predicate | textTypeOfMainWork |
P5468
|
FINISHED |
| Object | sub-commentary |
—
|
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: sub-commentary | Statement: [Uddyotakara, textTypeOfMainWork, sub-commentary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textTypeOfMainWork Context triple: [Uddyotakara, textTypeOfMainWork, sub-commentary]
-
A.
textType
chosen
Indicates the classification of a text according to its type, format, or genre.
-
B.
subjectOfWork
Indicates that one entity is the main topic, focus, or theme that a particular work (such as a book, article, or artwork) is about.
-
C.
primaryCorpusType
Indicates the main or dominant type or category of corpus associated with an entity.
-
D.
typeOfWork
Indicates the kind or category of work associated with or performed by an entity.
-
E.
manuscriptType
Indicates the specific category or kind of manuscript associated with an entity (e.g., draft, final version, annotated copy).
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5722d8fc81909c5f2d9a38d17a6b |
completed | March 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69bd5218afb4819087c99e0a1f22e137 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:02 p.m.