Triple
T13906095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marple railway station |
E334353
|
entity |
| Predicate | hasPassengerServicePattern |
P25562
|
FINISHED |
| Object | frequent commuter services to Manchester Piccadilly |
—
|
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: frequent commuter services to Manchester Piccadilly | Statement: [Marple railway station, hasPassengerServicePattern, frequent commuter services to Manchester Piccadilly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPassengerServicePattern Context triple: [Marple railway station, hasPassengerServicePattern, frequent commuter services to Manchester Piccadilly]
-
A.
hasPassengerServicesTo
chosen
Indicates that a transportation provider operates passenger services connecting one location or entity to another.
-
B.
hasPassengerOnlyService
Indicates that the service provided involves only the transportation of passengers, with no freight or cargo component.
-
C.
hasPassengerAirlineService
Indicates that a location or facility is served by scheduled passenger airline flights.
-
D.
hasPassengerOperations
Indicates that an entity conducts or supports transportation services specifically for carrying passengers.
-
E.
hasPassengerUsageCategory
Indicates the classification of how a passenger-related resource or service is used (e.g., its usage type or category for passengers).
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25dc26cc8190a7909980b1d34933 |
completed | April 14, 2026, 11:32 a.m. |
| PD | Predicate disambiguation | batch_69dd464b1ab48190ae50bfc902bf6ef7 |
completed | April 13, 2026, 7:38 p.m. |
Created at: April 9, 2026, 10:16 p.m.