Triple
T19935861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government Engineering College Rewa |
E479172
|
entity |
| Predicate | mayOfferLevel |
P137904
|
FINISHED |
| Object | postgraduate |
—
|
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: postgraduate | Statement: [Government Engineering College Rewa, mayOfferLevel, postgraduate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayOfferLevel Context triple: [Government Engineering College Rewa, mayOfferLevel, postgraduate]
-
A.
mayOfferConcentrationIn
Indicates that an educational program or institution is permitted to provide a specialized concentration or focus area within a broader field of study.
-
B.
mayBeOfferedFor
Indicates that one entity can potentially be provided or made available as an option to another entity.
-
C.
mayApply
Indicates that an entity is permitted or eligible to submit or use something (such as a rule, action, or resource) under certain conditions.
-
D.
mayProvideFor
Indicates that one entity is permitted or has the option to supply, support, or otherwise furnish something for another entity.
-
E.
mayGrant
Indicates that one entity has the authority or permission to confer, assign, or bestow a right, privilege, or resource to another entity.
- F. None of above. chosen
Provenance (4 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a173a448190a25cb859803e3afc |
completed | April 20, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69e537f47c508190853c4e009c6b5566 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:53 p.m.