Triple
T16362233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Hada mountain road |
E397340
|
entity |
| Predicate | timeOfHighTraffic |
P57188
|
FINISHED |
| Object | weekends and holidays |
—
|
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 and holidays | Statement: [Al Hada mountain road, timeOfHighTraffic, weekends and holidays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfHighTraffic Context triple: [Al Hada mountain road, timeOfHighTraffic, weekends and holidays]
-
A.
populationPeakPeriod
Indicates the time period during which a population reached its highest recorded level.
-
B.
hasHeavyTraffic
Indicates that a location, route, or area is experiencing a high volume of traffic, causing congestion or delays.
-
C.
peakHours
chosen
Indicates that an action, event, or condition occurs during the busiest or most heavily trafficked time period.
-
D.
activityPeakPeriod
Indicates the time period during which an activity reaches its highest level or intensity.
-
E.
hasHeavyPassengerTraffic
Indicates that an entity experiences a high volume of passenger movement or usage over a given period.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff39f8308190865d024734992a76 |
completed | April 18, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69e226f37ecc819082af58b29b4e39d1 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:08 a.m.