Triple
T3902863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dayanand Anglo-Vedic College, Lahore |
E90535
|
entity |
| Predicate | mottoFocus |
P25715
|
FINISHED |
| Object | synthesis of Vedic values and modern knowledge |
—
|
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: synthesis of Vedic values and modern knowledge | Statement: [Dayanand Anglo-Vedic College, Lahore, mottoFocus, synthesis of Vedic values and modern knowledge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mottoFocus Context triple: [Dayanand Anglo-Vedic College, Lahore, mottoFocus, synthesis of Vedic values and modern knowledge]
-
A.
motto
Indicates that one entity serves as the guiding phrase, slogan, or maxim associated with another entity.
-
B.
mottoEmphasizes
chosen
Indicates that a motto highlights, stresses, or gives special importance to a particular idea, value, or theme.
-
C.
mottoType
Indicates the specific category or kind of motto that characterizes the relationship between an entity and its motto.
-
D.
mottoOriginalLanguage
Indicates the language in which a motto was originally formulated or expressed.
-
E.
mottoStyle
Indicates the stylistic form or presentation in which a motto is expressed.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75cff148190b6d5979d17fae085 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:21 p.m.