Triple
T37995048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government Polytechnic Shahjahanpur |
E947924
|
entity |
| Predicate | offersDiplomaIn |
P196372
|
FINISHED |
| Object | engineering disciplines |
—
|
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: engineering disciplines | Statement: [Government Polytechnic Shahjahanpur, offersDiplomaIn, engineering disciplines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersDiplomaIn Context triple: [Government Polytechnic Shahjahanpur, offersDiplomaIn, engineering disciplines]
-
A.
offersDiplomaProgramme
chosen
Indicates that an institution provides or makes available a specific diploma-level academic programme.
-
B.
offersDegree
Indicates that an institution or program provides a specific academic degree as an available qualification.
-
C.
offersDegreeStructure
Indicates that an institution or program provides an organized curriculum leading to a specific academic degree.
-
D.
offersEducationIn
Indicates that an entity provides or delivers educational programs, courses, or instruction in a specified field, subject, or area.
-
E.
offersEducationTo
Indicates that one entity provides educational services, instruction, or learning opportunities to 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_69f76efa37088190be5416b7ef1ca275 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69feb8e856d48190aa34ad8ee8376e1c |
completed | May 9, 2026, 4:32 a.m. |
| PD | Predicate disambiguation | batch_69feb82a2b6c8190a473cc25976897be |
completed | May 9, 2026, 4:29 a.m. |
Created at: May 3, 2026, 4:20 p.m.