Triple
T38440044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanooru Heggadithi |
E906461
|
entity |
| Predicate | sourceMaterialStatus |
P10683
|
FINISHED |
| Object | canonical work of Kannada literature |
—
|
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: canonical work of Kannada literature | Statement: [Kanooru Heggadithi, sourceMaterialStatus, canonical work of Kannada literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceMaterialStatus Context triple: [Kanooru Heggadithi, sourceMaterialStatus, canonical work of Kannada literature]
-
A.
materialStatus
Indicates the current state or condition of a material, such as its availability, usage, or processing stage.
-
B.
sourceMaterialType
chosen
Indicates the type or category of material from which something originates or is derived.
-
C.
sourceStatus
Indicates the current state or condition of a given source within a process, system, or workflow.
-
D.
sourceMaterialSetting
Indicates that one entity serves as the contextual or environmental setting in which the source material of another entity is situated or occurs.
-
E.
materialSource
Indicates that one entity serves as the origin or provider of the material or substance used by 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_69f76e72878c8190a692836c8b01b58b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: May 3, 2026, 4:31 p.m.