Triple
T32457989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larne Harbour railway station |
E829481
|
entity |
| Predicate | hasPassengerConnection |
P198790
|
FINISHED |
| Object | Larne–Cairnryan ferry route |
—
|
NE NERFINISHED |
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: Larne–Cairnryan ferry route | Statement: [Larne Harbour railway station, hasPassengerConnection, Larne–Cairnryan ferry route]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPassengerConnection Context triple: [Larne Harbour railway station, hasPassengerConnection, Larne–Cairnryan ferry route]
-
A.
hasPassengerRailConnection
Indicates that there exists a passenger rail service linking one location or transport node to another.
-
B.
hasPassengerTrains
Indicates that a location, route, or rail line is served by trains that carry passengers.
-
C.
isOnPassengerNetwork
Indicates that an entity is part of, connected to, or operates within a passenger transportation network.
-
D.
hasPassengerTerminalFunction
Indicates that something serves the role or performs the function of a passenger terminal, supporting the handling and movement of passengers.
-
E.
hasAirConditionedTrains
Indicates that the subject operates or provides trains that are equipped with air conditioning.
- 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_69f3491df9288190afc0b23b1d6e72ce |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff069ec1348190815375c5c9e38404 |
completed | May 9, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69ff05ba57f88190a45d20f18044e0fb |
completed | May 9, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69ff069ddf948190bdfe438953249dd0 |
completed | May 9, 2026, 10:04 a.m. |
Created at: May 1, 2026, 12:56 a.m.