Triple
T32537482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deeside Line |
E831627
|
entity |
| Predicate | passengerServicesCeased |
P27833
|
FINISHED |
| Object | 1966 |
—
|
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: 1966 | Statement: [Deeside Line, passengerServicesCeased, 1966]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passengerServicesCeased Context triple: [Deeside Line, passengerServicesCeased, 1966]
-
A.
mostPassengerServiceEnded
Indicates that the majority of regular passenger service associated with the subject has been discontinued.
-
B.
hasPassengerServicesTo
Indicates that a transportation provider operates passenger services connecting one location or entity to another.
-
C.
hasPassengerServicesType
Indicates the type or category of passenger services that are provided or associated with an entity.
-
D.
operatedPassengerServices
Indicates that an entity provided and managed transportation services specifically for carrying passengers.
-
E.
railServiceEnded
chosen
Indicates that a previously operating rail service has been discontinued or terminated.
- 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_69f34924b1cc8190ad3aca0c0f012a7e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: May 1, 2026, 1:01 a.m.