Triple
T26139340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masunda Lake |
E659471
|
entity |
| Predicate | timeOfHighestFootfall |
P70162
|
FINISHED |
| Object | evening |
—
|
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: evening | Statement: [Masunda Lake, timeOfHighestFootfall, evening]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfHighestFootfall Context triple: [Masunda Lake, timeOfHighestFootfall, evening]
-
A.
populationPeakPeriod
Indicates the time period during which a population reached its highest recorded level.
-
B.
peakDayAttendance
Indicates the number of attendees present on the single highest-attendance day within a given period or event.
-
C.
activityPeakPeriod
chosen
Indicates the time period during which an activity reaches its highest level or intensity.
-
D.
peakHours
Indicates that an action, event, or condition occurs during the busiest or most heavily trafficked time period.
-
E.
bestTimeOfDayToVisit
Indicates the time of day during which visiting something is considered most optimal or desirable.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 26, 2026, 8:19 p.m.