Triple
T4974908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canary Wharf tube station |
E111739
|
entity |
| Predicate | busiestPeriod |
P57188
|
FINISHED |
| Object | weekday peak hours |
—
|
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: weekday peak hours | Statement: [Canary Wharf tube station, busiestPeriod, weekday peak hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: busiestPeriod Context triple: [Canary Wharf tube station, busiestPeriod, weekday peak hours]
-
A.
populationPeakPeriod
Indicates the time period during which a population reached its highest recorded level.
-
B.
peakHours
chosen
Indicates that an action, event, or condition occurs during the busiest or most heavily trafficked time period.
-
C.
peakDay
Indicates the specific day on which a quantity, activity, or effect reaches its maximum level within a given period.
-
D.
commercialPeak
Indicates the time or period when something (such as a product, artist, or business) achieves its highest level of commercial success or popularity.
-
E.
leaderDuringPeak
Indicates that an entity served as the primary leader of another entity during the latter’s peak or most successful 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd7146e6e881908a55ab2756b631f6 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:33 p.m.