Triple
T29417510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puthuvarudam |
E746063
|
entity |
| Predicate | timeOfDayImportance |
P147906
|
FINISHED |
| Object | early morning observances |
—
|
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: early morning observances | Statement: [Puthuvarudam, timeOfDayImportance, early morning observances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfDayImportance Context triple: [Puthuvarudam, timeOfDayImportance, early morning observances]
-
A.
associatedTimeOfDay
chosen
Indicates the specific time of day during which an event, state, or relationship occurs or is most relevant.
-
B.
timeOfDayEmphasized
Indicates that a particular time of day is highlighted or given special prominence in relation to an event or situation.
-
C.
timeSignificance
Indicates the degree to which a specific point or interval in time is important, impactful, or meaningful within a given context.
-
D.
timePeriodOfMajorImportance
Indicates that a particular time period holds significant importance or prominence within a given context or domain.
-
E.
screenTimeImportance
Indicates how important or significant the amount of time spent using screens or digital devices is considered in a given context.
- 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_69f0a79f6d5c8190a350baed0157e06f |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 28, 2026, 3:02 p.m.