Triple
T34558303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dublin to Cork railway line |
E887267
|
entity |
| Predicate | startingStationInDublin |
P17223
|
FINISHED |
| Object | Dublin Heuston 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: Dublin Heuston railway station | Statement: [Dublin to Cork railway line, startingStationInDublin, Dublin Heuston railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startingStationInDublin Context triple: [Dublin to Cork railway line, startingStationInDublin, Dublin Heuston railway station]
-
A.
startingStation
chosen
Indicates the station or location where a journey, route, or trip begins.
-
B.
hasAdjacentStationTowardsDublin
Indicates that one station is directly next to another station in the direction of Dublin.
-
C.
directionFromDublinCityCentre
Indicates the compass direction or orientation of an entity relative to Dublin city centre.
-
D.
distanceFromDublinCityCentre_km
Indicates the physical distance, measured in kilometers, between an entity’s location and the center of Dublin city.
-
E.
isCapitalCityStationOf
Indicates that a particular station serves as the main or primary railway/transport station of a capital city.
- 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_6a0041860fd081908623ef9fd40a9775 |
completed | May 10, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_6a00414b01488190a312adb3b25d69cf |
completed | May 10, 2026, 8:26 a.m. |
Created at: May 1, 2026, 2:02 a.m.