Triple
T11552466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alvechurch railway station |
E273929
|
entity |
| Predicate | hasPeakServiceFrequency |
P90559
|
FINISHED |
| Object | up to every 20 minutes at peak times |
—
|
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: up to every 20 minutes at peak times | Statement: [Alvechurch railway station, hasPeakServiceFrequency, up to every 20 minutes at peak times]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeakServiceFrequency Context triple: [Alvechurch railway station, hasPeakServiceFrequency, up to every 20 minutes at peak times]
-
A.
hasPeakHourService
Indicates that a service operates or is available during designated peak or high-demand hours.
-
B.
hasPeakHourFunction
Indicates that something performs a specific role or behavior during peak hours of activity or usage.
-
C.
hasPeak
Indicates that something possesses or contains a highest point, summit, or maximum value.
-
D.
hasFrequentServices
chosen
Indicates that one entity regularly provides or receives services from another entity at short or recurring intervals.
-
E.
hasPeakDirectionService
Indicates that a transportation service operates primarily or exclusively in a specified direction during peak travel periods.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a85b9ac8190a57c1fdaeacbe3d6 |
completed | April 10, 2026, 5:28 a.m. |
| PD | Predicate disambiguation | batch_69d8087e57b48190a4c253dc0210f9d4 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:37 p.m.