Triple
T5759236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parvati Patil |
E127046
|
entity |
| Predicate | takesClass |
P32567
|
FINISHED |
| Object | Divination |
—
|
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: Divination | Statement: [Parvati Patil, takesClass, Divination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: takesClass Context triple: [Parvati Patil, takesClass, Divination]
-
A.
usesClass
Indicates that one entity makes use of, depends on, or is implemented using a particular class in its structure or behavior.
-
B.
supportedClass
Indicates that one entity is a class or type that is recognized, handled, or operable within the capabilities or context provided by another entity.
-
C.
draftClass
Indicates that an entity is assigned to or associated with a particular draft classification or category.
-
D.
academyClass
Indicates that an entity is a class, course, or instructional grouping offered within an academy or educational institution.
-
E.
offeredClass
chosen
Indicates that a particular class or course is being made available or provided, typically by an institution or organization.
- 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0293771ec8190a0082685327d649b |
completed | March 22, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69c021cc68648190bb86d049ebe80f12 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.