Triple
T20237664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Bengal Council of Higher Secondary Education |
E498192
|
entity |
| Predicate | typeOfExamination |
P52475
|
FINISHED |
| Object | public examination |
—
|
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: public examination | Statement: [West Bengal Council of Higher Secondary Education, typeOfExamination, public examination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfExamination Context triple: [West Bengal Council of Higher Secondary Education, typeOfExamination, public examination]
-
A.
examinedIn
Indicates that one entity is analyzed, inspected, or studied within the context, scope, or setting provided by another entity.
-
B.
typeOfInvestigation
Indicates the specific kind or category of investigation being conducted or referred to in the relationship.
-
C.
examType
chosen
Indicates the specific category or format of an exam associated with an assessment or testing event.
-
D.
diagnosisMethod
Indicates the method, procedure, or technique used to establish or confirm a diagnosis for a condition or case.
-
E.
screeningType
Indicates the specific method or category of screening applied in a screening process or evaluation.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716b4c148190bf663b8a747fbfa5 |
completed | April 20, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:40 p.m.