Triple
T3163550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guru Angad |
E66155
|
entity |
| Predicate | contributionToEducation |
P10669
|
FINISHED |
| Object | encouraged teaching of Gurmukhi to children |
—
|
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: encouraged teaching of Gurmukhi to children | Statement: [Guru Angad, contributionToEducation, encouraged teaching of Gurmukhi to children]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contributionToEducation Context triple: [Guru Angad, contributionToEducation, encouraged teaching of Gurmukhi to children]
-
A.
educationalImpact
chosen
Indicates the effect or influence that one entity has on the learning, knowledge, or educational outcomes of another.
-
B.
educates
Indicates that one entity provides instruction, knowledge, or training to another entity.
-
C.
educationalImportance
Indicates the degree to which something is significant, valuable, or impactful in an educational or learning context.
-
D.
educationProvision
Indicates the act or arrangement of supplying educational services, resources, or opportunities to individuals or groups.
-
E.
hasEducationalRole
Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada61a4b8481908897a8d39d94c2f4 |
completed | March 8, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfe0a948190928f2201d671c654 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.