Triple
T22903209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Science, Banaras Hindu University |
E568377
|
entity |
| Predicate | offersResearchPrograms |
P128291
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Faculty of Science, Banaras Hindu University, offersResearchPrograms, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersResearchPrograms Context triple: [Faculty of Science, Banaras Hindu University, offersResearchPrograms, yes]
-
A.
researchProgram
Indicates that an entity is engaged in, associated with, or part of a structured research initiative or program.
-
B.
offersResearch
chosen
Indicates that one entity provides or makes available research opportunities, resources, or services to another entity.
-
C.
offersProfessionalPrograms
Indicates that an entity provides formal, career-oriented educational or training programs to others.
-
D.
offersLeadershipPrograms
Indicates that an entity provides or makes available structured programs focused on developing leadership skills or capabilities for others.
-
E.
offersStudyAbroad
Indicates that an institution or program provides opportunities for participants to study in a foreign country.
- 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18017a0208190a7e6f1638fc17b01 |
completed | April 29, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69ef3b6b2e2481908258156937b5a745 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:41 p.m.