Triple
T26514449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | विद्या भारती |
E669773
|
entity |
| Predicate | प्रमुख_फोकस |
P31
|
FINISHED |
| Object | भारतीय संस्कृति पर आधारित पाठ्यचर्या |
—
|
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: भारतीय संस्कृति पर आधारित पाठ्यचर्या | Statement: [विद्या भारती, प्रमुख_फोकस, भारतीय संस्कृति पर आधारित पाठ्यचर्या]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: प्रमुख_फोकस Context triple: [विद्या भारती, प्रमुख_फोकस, भारतीय संस्कृति पर आधारित पाठ्यचर्या]
-
A.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
B.
formerFocus
Indicates that an entity previously served as the primary focus or main subject of attention, but no longer holds that status.
-
C.
focusOf
Indicates that one entity is the primary subject, target, or center of attention, activity, or interest for another entity.
-
D.
principle1Focus
Indicates that an entity’s primary attention, effort, or concern is directed toward a particular principle or fundamental rule.
-
E.
focusType
Indicates the specific kind or category of focus or attention that is being applied to or associated with an entity or interaction.
- 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_69eeb31b6dcc8190b30632dc3928a0c0 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 27, 2026, 1:22 a.m.