Triple
T35541337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnalea railway station |
E1027068
|
entity |
| Predicate | typicalServiceFrequencyWeekendDaytime |
P207041
|
FINISHED |
| Object | half-hourly in each direction |
—
|
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: half-hourly in each direction | Statement: [Carnalea railway station, typicalServiceFrequencyWeekendDaytime, half-hourly in each direction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalServiceFrequencyWeekendDaytime Context triple: [Carnalea railway station, typicalServiceFrequencyWeekendDaytime, half-hourly in each direction]
-
A.
typicalFrequencyWeekdayDaytime
Indicates the usual or most common frequency with which something occurs during daytime hours on weekdays.
-
B.
offPeakServiceFrequency_minutes
Indicates the number of minutes between successive services during off-peak periods.
-
C.
serviceFrequencyEveningSunday
Indicates how often a service operates during Sunday evening hours.
-
D.
weekendService
Indicates that a service, operation, or activity is provided or occurs specifically on weekends.
-
E.
typicalFrequencySunday
Indicates how frequently an event, action, or relationship typically occurs on Sundays.
- F. None of above. chosen
Provenance (4 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_69f76e008ba08190927acd8e5e0344c8 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:04 p.m.