Triple
T25233044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapha |
E632264
|
entity |
| Predicate | timeOfDayDominance |
P147906
|
FINISHED |
| Object | early morning |
—
|
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 | Statement: [Kapha, timeOfDayDominance, early morning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfDayDominance Context triple: [Kapha, timeOfDayDominance, early morning]
-
A.
associatedTimeOfDay
chosen
Indicates the specific time of day during which an event, state, or relationship occurs or is most relevant.
-
B.
timeOfDayCoverage
Indicates the specific portion or range of the day during which an activity, service, or condition is in effect or applicable.
-
C.
timeOfDayEmphasized
Indicates that a particular time of day is highlighted or given special prominence in relation to an event or situation.
-
D.
isDiurnal
Indicates that an entity is active during the daytime and rests at night.
-
E.
segmentOfDaypart
Indicates that one time segment occurs within or corresponds to a specific part of the day (e.g., morning, afternoon, evening).
- 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_69e75a8ec5f88190b9eba06ae42b413a |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f606c79ad081908369605f72e65ca6 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 21, 2026, 1:06 p.m.