Triple
T3152255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hindi Belt |
E65901
|
entity |
| Predicate | educationFeature |
P17044
|
FINISHED |
| Object | Hindi widely used as medium of instruction |
—
|
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: Hindi widely used as medium of instruction | Statement: [Hindi Belt, educationFeature, Hindi widely used as medium of instruction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationFeature Context triple: [Hindi Belt, educationFeature, Hindi widely used as medium of instruction]
-
A.
educationalFocus
Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
-
B.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
-
C.
educationUse
Indicates the use or application of something specifically for educational purposes or in an educational context.
-
D.
educationSetting
Indicates the type or context of the educational environment in which the related entity participates or operates.
-
E.
educationSystemCharacteristic
chosen
Indicates a characteristic, feature, or attribute that describes an education system.
- 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5c27258819099c46a657779780b |
completed | March 8, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfbf0348190952a6bca8fc5fed1 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.