Triple
T308985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Padma awards |
E6361
|
entity |
| Predicate | typicalConfermentPeriod |
P5189
|
FINISHED |
| Object | around March or April |
—
|
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: around March or April | Statement: [Padma awards, typicalConfermentPeriod, around March or April]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalConfermentPeriod Context triple: [Padma awards, typicalConfermentPeriod, around March or April]
-
A.
typicalAwardDate
chosen
Indicates the date on which an award is customarily or normally given or conferred.
-
B.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
C.
locationPeriod
Indicates that an entity is associated with being at a particular location during a specified time period.
-
D.
ceremonyType
Indicates the specific kind or category of ceremony associated with an event or relationship.
-
E.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea33ba688190b30d285cd7aa0d82 |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e93f38308190b4b480c951f1a1c3 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.