Triple
T31290273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skerries railway station |
E797913
|
entity |
| Predicate | hasAdjacentStationTowardsBelfast |
P189447
|
FINISHED |
| Object | Balbriggan 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: Balbriggan railway station | Statement: [Skerries railway station, hasAdjacentStationTowardsBelfast, Balbriggan railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdjacentStationTowardsBelfast Context triple: [Skerries railway station, hasAdjacentStationTowardsBelfast, Balbriggan railway station]
-
A.
hasAdjacentStationTowardsDublin
Indicates that one station is directly next to another station in the direction of Dublin.
-
B.
hasAdjacentStationTowardsCentralLondon
Indicates that one station has a neighboring station located in the direction of central London along a transit route.
-
C.
directionFromBelfast
Indicates the cardinal or relative compass direction of one place or object as measured outward from Belfast.
-
D.
distanceToBelfast
Indicates the spatial distance between a given entity’s location and the city of Belfast.
-
E.
hasAdjacentStationOnWirralLine
Indicates that one station is directly next to another station along the Wirral railway line, with no other station between them.
- 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_69f224dfde288190af313f3c221c857e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc36bcac48190a726b40442c094d1 |
completed | May 6, 2026, 10:40 p.m. |
Created at: April 29, 2026, 9:14 p.m.