Triple
T28947029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mangalacharan |
E730606
|
entity |
| Predicate | trainingImportance |
P171011
|
FINISHED |
| Object | fundamental item in Odissi training |
—
|
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: fundamental item in Odissi training | Statement: [Mangalacharan, trainingImportance, fundamental item in Odissi training]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainingImportance Context triple: [Mangalacharan, trainingImportance, fundamental item in Odissi training]
-
A.
selectionImportance
Indicates that one option in a set is prioritized or weighted more heavily than others during a selection or decision process.
-
B.
resultImportance
Indicates that one entity specifies how significant, critical, or impactful the outcome or result of another entity is.
-
C.
forecastImportance
Indicates that something expresses or assigns the level of significance or priority associated with a particular forecast.
-
D.
peakImportance
Indicates that something reaches or represents the highest level of importance within a given context or timeframe.
-
E.
trainingUse
Indicates that something is used for training purposes, such as preparing, educating, or improving the skills or performance of an entity.
- F. None of above. chosen
Provenance (4 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_69f043ea0aa88190a25acbf46157995a |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6984bb55c8190862eb8796868d188 |
completed | May 3, 2026, 12:35 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f6978ec27c8190a488e1f9c2566d38 |
completed | May 3, 2026, 12:32 a.m. |
Created at: April 28, 2026, 8:41 a.m.