Triple
T34558304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dublin to Cork railway line |
E887267
|
entity |
| Predicate | endingStationInCork |
P19517
|
FINISHED |
| Object | Cork Kent railway station |
—
|
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: Cork Kent railway station | Statement: [Dublin to Cork railway line, endingStationInCork, Cork Kent railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endingStationInCork Context triple: [Dublin to Cork railway line, endingStationInCork, Cork Kent railway station]
-
A.
distanceFromCorkCity
Indicates the spatial distance between a given place and Cork City.
-
B.
railwayUpperTerminus
Indicates that a railway line or route reaches its upper (typically higher-altitude or upstream) terminal endpoint at the related location.
-
C.
formerTerminalStation
Indicates that a location once served as the end point (terminus) of a transportation line or route but no longer holds that status.
-
D.
terminalStationSouth
chosen
Indicates that a given station serves as the southern terminal (end point) of a particular route or line.
-
E.
futureTerminusStation
Indicates that a station is designated to become a terminus (end point) of a transit line or route at a specified future time.
- 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_69f349d0c4d881908dd0950f5eb9ec0a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7206146a881909110085fb46c8251 |
completed | May 3, 2026, 10:16 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.