Triple
T36687354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sahakari Vidya Kendra |
E905854
|
entity |
| Predicate | employedAsTeacher |
P3295
|
FINISHED |
| Object | K. S. Nissar Ahmed |
—
|
NE NERFINISHED |
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: K. S. Nissar Ahmed | Statement: [Sahakari Vidya Kendra, employedAsTeacher, K. S. Nissar Ahmed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employedAsTeacher Context triple: [Sahakari Vidya Kendra, employedAsTeacher, K. S. Nissar Ahmed]
-
A.
hasTeacher
Indicates that one entity serves as an instructor or educator for another entity.
-
B.
hasTeachingRole
chosen
Indicates that one entity holds a position or responsibility involving teaching or instruction in relation to another entity.
-
C.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
-
D.
hasEducationalRole
Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
-
E.
hasTeachingStatus
Indicates that an entity holds a particular teaching-related role, capacity, or status in relation to another entity or context.
- 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_69f76e70d2448190bdd3ce781ba971c5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: May 3, 2026, 4:12 p.m.