Triple
T20018158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rauma |
E494776
|
entity |
| Predicate | hasRailway |
P848
|
FINISHED |
| Object | Rauma Line |
—
|
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: Rauma Line | Statement: [Rauma, hasRailway, Rauma Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rauma Line Context triple: [Rauma, hasRailway, Rauma Line]
-
A.
Rauma Line
chosen
The Rauma Line is a scenic Norwegian railway route renowned for its dramatic mountain, river, and valley landscapes between Dombås and Åndalsnes.
-
B.
Haparanda Line
The Haparanda Line is a railway route in northern Sweden that connects to Finland, serving as an important cross-border transport link.
-
C.
Grenaa Line
Grenaa Line is a Danish railway route in Jutland that connects the city of Aarhus with the coastal town of Grenaa.
-
D.
Saburtalo Line
The Saburtalo Line is one of the main rapid transit lines of the Tbilisi Metro system in Tbilisi, Georgia, serving several central and residential districts of the city.
-
E.
Saint Petersburg–Sortavala route
The Saint Petersburg–Sortavala route is a regional transport corridor in northwestern Russia connecting the city of Saint Petersburg with the Karelian town of Sortavala, passing through intermediate localities such as Priozersk.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623d76808190988990a8dc263ef7 |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:34 p.m.