Triple
T35097038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. B. R. Ambedkar National Institute of Technology Jalandhar |
E1012891
|
entity |
| Predicate | hasTrainingAndPlacementCell |
P200610
|
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: [Dr. B. R. Ambedkar National Institute of Technology Jalandhar, hasTrainingAndPlacementCell, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrainingAndPlacementCell Context triple: [Dr. B. R. Ambedkar National Institute of Technology Jalandhar, hasTrainingAndPlacementCell, yes]
-
A.
hasTrainingRole
Indicates that an entity holds or is assigned a specific role within a training or instructional context.
-
B.
hasTrainingFor
Indicates that an entity has received or possesses training that prepares it for performing a specific task, role, or function.
-
C.
hasTrainingStructure
Indicates that an entity is associated with, or organized according to, a specific training framework, setup, or configuration.
-
D.
hasFieldTrainingComponent
Indicates that an entity includes or is associated with a component involving practical, in-the-field training activities.
-
E.
hasTrainedAt
Indicates that an entity has received training, education, or instruction at a specified place or institution.
- 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_69f76dd432ec8190969bc32acfc152b1 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff9b1ad27081908f8a492396950795 |
completed | May 9, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69ff9a6354c48190ae21070c1424cb7a |
completed | May 9, 2026, 8:34 p.m. |
| PDg | Predicate description generation | batch_69ff9b19f254819099bb9c034d2b399b |
completed | May 9, 2026, 8:37 p.m. |
Created at: May 3, 2026, 4:01 p.m.