Triple
T31645808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suhṛllekha |
E807579
|
entity |
| Predicate | emphasizesPracticeOf |
P1188
|
FINISHED |
| Object | generosity |
—
|
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: generosity | Statement: [Suhṛllekha, emphasizesPracticeOf, generosity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizesPracticeOf Context triple: [Suhṛllekha, emphasizesPracticeOf, generosity]
-
A.
emblematicPractice
Indicates a practice or behavior that symbolically represents, expresses, or typifies a group, identity, or concept.
-
B.
normativelyEmphasizes
Indicates that one entity highlights, prioritizes, or stresses another entity as a standard, value, or principle that ought to be followed or given special importance.
-
C.
trainingEmphasized
Indicates that particular training or instructional activities are given special focus, priority, or importance within a broader context or process.
-
D.
hasImportantPractice
chosen
Indicates that an entity engages in or possesses a practice, activity, or procedure considered significant or essential within a given context.
-
E.
emphasizesAbility
Indicates that one entity highlights, stresses, or draws special attention to the capability or skill of another entity.
- 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_69f348d9ce58819093ea2da83cbeeec1 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a91e4f4c8190831089d81f5f0026 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a757c6e081908e37631e5d8d246b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:51 p.m.