Triple
T31290272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skerries railway station |
E797913
|
entity |
| Predicate | hasAdjacentStationTowardsDublin |
P189348
|
FINISHED |
| Object | Rush and Lusk 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: Rush and Lusk railway station | Statement: [Skerries railway station, hasAdjacentStationTowardsDublin, Rush and Lusk railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdjacentStationTowardsDublin Context triple: [Skerries railway station, hasAdjacentStationTowardsDublin, Rush and Lusk railway station]
-
A.
hasAdjacentStationTowardsCentralLondon
Indicates that one station has a neighboring station located in the direction of central London along a transit route.
-
B.
hasAdjacentStationOnIRT
Indicates that one transit station is directly next to another station along the IRT (Interborough Rapid Transit) line, with no other stations in between.
-
C.
hasAdjacentStationOnCentralLine
Indicates that one station is directly next to another station along the Central Line.
-
D.
adjacentStationOnRobinHoodLine
Indicates that one station is directly next to another station along the Robin Hood railway line.
-
E.
adjacentStationTowardO Hare
Indicates that one station is directly next to another in the direction of O'Hare along a transit line.
- 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_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbc48b75c8190bec27dd4b7de797f |
completed | May 6, 2026, 10:10 p.m. |
Created at: April 29, 2026, 9:14 p.m.