Triple
T5394985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arendal Line |
E120629
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Froland Station |
E308958
|
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: Froland Station | Statement: [Arendal Line, hasStation, Froland Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Froland Station Context triple: [Arendal Line, hasStation, Froland Station]
-
A.
Froland Station
chosen
Froland Station is a local railway station serving the village of Froland in Agder county, Norway.
-
B.
Kimball station
Kimball station is an elevated Chicago 'L' train station in the Albany Park neighborhood that serves as the northern endpoint of the Brown Line.
-
C.
Pattison Station
Pattison Station is the former name of NRG Station, a subway stop on Philadelphia's Broad Street Line serving the South Philadelphia Sports Complex.
-
D.
Bachman station
Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
-
E.
Fair Oaks Station
Fair Oaks Station was a key Civil War-era railroad stop in Virginia that lent its name to the nearby Battle of Fair Oaks.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87441a208190b79561614759894b |
completed | March 20, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf33739e388190b7d8d27484d7b269 |
completed | March 22, 2026, 12:10 a.m. |
Created at: March 20, 2026, 2:04 p.m.