Triple
T5860412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irlam railway station |
E130260
|
entity |
| Predicate | typicalOffPeakFrequency |
P24204
|
FINISHED |
| Object | 2 trains per hour to Manchester Oxford Road |
—
|
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: 2 trains per hour to Manchester Oxford Road | Statement: [Irlam railway station, typicalOffPeakFrequency, 2 trains per hour to Manchester Oxford Road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOffPeakFrequency Context triple: [Irlam railway station, typicalOffPeakFrequency, 2 trains per hour to Manchester Oxford Road]
-
A.
typicalTimes
Indicates the usual or characteristic times at which an event, activity, or condition typically occurs.
-
B.
offPeakServicePattern
chosen
Indicates the service pattern or schedule that applies during off-peak (non-rush-hour) times.
-
C.
peakHours
Indicates that an action, event, or condition occurs during the busiest or most heavily trafficked time period.
-
D.
typicalOffsetRange
Indicates the usual or expected range of positional or temporal deviation between related elements.
-
E.
typicalFrequencyUnit
Indicates the unit of measurement typically used to express the frequency of an event, action, or occurrence.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03345ca0c819081c81148d054fed2 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:56 p.m.