Triple
T23383045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uckfield railway station |
E593802
|
entity |
| Predicate | serviceFrequencyWeekdayPeak |
P115690
|
FINISHED |
| Object | approximately 2 trains per hour to London |
—
|
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: approximately 2 trains per hour to London | Statement: [Uckfield railway station, serviceFrequencyWeekdayPeak, approximately 2 trains per hour to London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceFrequencyWeekdayPeak Context triple: [Uckfield railway station, serviceFrequencyWeekdayPeak, approximately 2 trains per hour to London]
-
A.
offPeakServiceFrequency_minutes
Indicates the number of minutes between successive services during off-peak periods.
-
B.
typicalFrequencyWeekdayDaytime
Indicates the usual or most common frequency with which something occurs during daytime hours on weekdays.
-
C.
hasPeakHourFrequency
chosen
Indicates how often a service or event occurs during designated peak hours.
-
D.
peakHours
Indicates that an action, event, or condition occurs during the busiest or most heavily trafficked time period.
-
E.
populationPeakPeriod
Indicates the time period during which a population reached its highest recorded level.
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b9287481908fd86c41f6d9fc53 |
completed | April 29, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:34 p.m.