Triple
T7570161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karnataka Power Corporation Limited |
E179217
|
entity |
| Predicate | ownershipLevel |
P7585
|
FINISHED |
| Object | wholly owned by Government of Karnataka |
—
|
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: wholly owned by Government of Karnataka | Statement: [Karnataka Power Corporation Limited, ownershipLevel, wholly owned by Government of Karnataka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownershipLevel Context triple: [Karnataka Power Corporation Limited, ownershipLevel, wholly owned by Government of Karnataka]
-
A.
authorizationLevel
Indicates the degree or tier of access rights or permissions granted to an entity within a system or context.
-
B.
representedLevel
Indicates that one entity denotes or encodes the degree, intensity, or value (i.e., the level) of another entity or property.
-
C.
ownershipType
chosen
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
D.
affiliateLevelOf
Indicates the hierarchical rank or tier of an entity within an affiliate or partnership program.
-
E.
designationLevel
Indicates the specific rank, tier, or level assigned to an entity within a designation or classification system.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f920540c8190817712db5aa3eeff |
completed | March 27, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69c6f4de77048190b8769e717fdcf8e7 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:51 p.m.