Triple
T36968059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Awake, my soul, and with the sun |
E914482
|
entity |
| Predicate | timeOfDayAssociated |
P147906
|
FINISHED |
| Object | 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: morning | Statement: [Awake, my soul, and with the sun, timeOfDayAssociated, morning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfDayAssociated Context triple: [Awake, my soul, and with the sun, timeOfDayAssociated, morning]
-
A.
associatedTimeOfDay
chosen
Indicates the specific time of day during which an event, state, or relationship occurs or is most relevant.
-
B.
associatedWithTime
Indicates a relationship where something is linked or connected to a specific point or period in time.
-
C.
timeOfDayCoverage
Indicates the specific portion or range of the day during which an activity, service, or condition is in effect or applicable.
-
D.
timeOfDayEmphasized
Indicates that a particular time of day is highlighted or given special prominence in relation to an event or situation.
-
E.
associatedNightTiming
Indicates a relationship where an event, action, or condition is linked specifically to a time period occurring during the night.
- 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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe189fec148190aeef51b417ba15b0 |
completed | May 8, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69fe17285b0881908de7569d8dbd20bd |
completed | May 8, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:14 p.m.