Triple
T12915103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hynnekleiv Station |
E308959
|
entity |
| Predicate | railwayLine |
P848
|
FINISHED |
| Object | Arendalsbanen |
E120629
|
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: Arendalsbanen | Statement: [Hynnekleiv Station, railwayLine, Arendalsbanen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arendalsbanen Context triple: [Hynnekleiv Station, railwayLine, Arendalsbanen]
-
A.
Värmland Line
The Värmland Line is a railway route in western Sweden that connects key towns in Värmland County with the broader national and international rail network.
-
B.
Meråkerbanen
Meråkerbanen is a Norwegian railway line in Trøndelag that connects Trondheim to the Swedish border, serving both passenger and freight traffic.
-
C.
Arendal Line
chosen
The Arendal Line is a Norwegian railway route that connects the coastal town of Arendal to the national rail network.
-
D.
Inlandsbanan
Inlandsbanan is a long-distance railway line running through the inland regions of northern and central Sweden, known for its scenic routes and role in connecting remote communities.
-
E.
Stångådalsbanan
Stångådalsbanan is a regional railway line in southeastern Sweden that connects Linköping with coastal towns such as Västervik.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971a0d6508190bca9668e9e06abfe |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbbccbd08190869d8de09797bc6a |
completed | May 3, 2026, 4:14 a.m. |
Created at: April 9, 2026, 5:41 p.m.