Triple
T19436987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highway 35 (Skyline Boulevard) |
E486247
|
entity |
| Predicate | popularTimes |
P78489
|
FINISHED |
| Object | weekends |
—
|
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: weekends | Statement: [Highway 35 (Skyline Boulevard), popularTimes, weekends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularTimes Context triple: [Highway 35 (Skyline Boulevard), popularTimes, weekends]
-
A.
popularTimeToVisit
chosen
Indicates the time period during which a place is most frequently visited or experiences peak visitor activity.
-
B.
peakHours
Indicates that an action, event, or condition occurs during the busiest or most heavily trafficked time period.
-
C.
populationPeakPeriod
Indicates the time period during which a population reached its highest recorded level.
-
D.
activityPeakPeriod
Indicates the time period during which an activity reaches its highest level or intensity.
-
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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633618c2881908f3d2a9cabb02289 |
completed | April 20, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:38 p.m.