Triple
T24534386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birkdale railway station |
E606904
|
entity |
| Predicate | serviceFrequencyEveningSunday |
P156636
|
FINISHED |
| Object | every 30 minutes |
—
|
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: every 30 minutes | Statement: [Birkdale railway station, serviceFrequencyEveningSunday, every 30 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceFrequencyEveningSunday Context triple: [Birkdale railway station, serviceFrequencyEveningSunday, every 30 minutes]
-
A.
typicalFrequencySunday
Indicates how frequently an event, action, or relationship typically occurs on Sundays.
-
B.
weekendService
Indicates that a service, operation, or activity is provided or occurs specifically on weekends.
-
C.
weekdayFranchiseEndTime
Indicates the time at which a franchise’s operations or availability end on regular weekdays.
-
D.
offPeakServiceFrequency_minutes
Indicates the number of minutes between successive services during off-peak periods.
-
E.
observedIfOnSunday
Indicates that the observation or event occurs or is recorded only when the relevant time falls on a Sunday.
- 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:25 a.m.