Triple
T14109698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Østerport |
E339600
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Østerport Station |
E1078991
|
NE FINISHED |
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: Østerport Station | Statement: [Østerport, formerName, Østerport Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Østerport Station Context triple: [Østerport, formerName, Østerport Station]
-
A.
Østerport station
chosen
Østerport station is a major railway and S-train hub in central Copenhagen, Denmark, serving regional, intercity, and urban commuter lines.
-
B.
Brunswick station
Brunswick station is a passenger rail station in Brunswick, Maryland, serving as the western endpoint of MARC's Brunswick Line commuter service.
-
C.
Halethorpe station
Halethorpe station is a Maryland Area Regional Commuter (MARC) rail stop serving the Penn Line in the Baltimore–Washington metropolitan area.
-
D.
Lutherville station
Lutherville station is a light rail transit stop in Lutherville-Timonium, Maryland, serving the Maryland Transit Administration’s Light RailLink system.
-
E.
Vestby Station
Vestby Station is a railway station in Vestby, Norway, serving as a stop on the Østfold Line for regional and commuter trains.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de600caf308190ab6d8451ed4e3797 |
completed | April 14, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf04871c8190891605415f1abf7f |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:22 p.m.