Triple
T27136381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ooh Aah Point |
E681697
|
entity |
| Predicate | commonlyVisitedTimeOfDay |
P78489
|
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: [Ooh Aah Point, commonlyVisitedTimeOfDay, morning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonlyVisitedTimeOfDay Context triple: [Ooh Aah Point, commonlyVisitedTimeOfDay, morning]
-
A.
bestTimeOfDayToVisit
Indicates the time of day during which visiting something is considered most optimal or desirable.
-
B.
associatedTimeOfDay
Indicates the specific time of day during which an event, state, or relationship occurs or is most relevant.
-
C.
popularTimeToVisit
chosen
Indicates the time period during which a place is most frequently visited or experiences peak visitor activity.
-
D.
activityPeakPeriod
Indicates the time period during which an activity reaches its highest level or intensity.
-
E.
typicalTimes
Indicates the usual or characteristic times at which an event, activity, or condition typically occurs.
- 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 27, 2026, 9:07 a.m.