Triple
T20583390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Söderköping |
E505719
|
entity |
| Predicate | waterwayConnection |
P6307
|
FINISHED |
| Object | Vättern |
—
|
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: Vättern | Statement: [Söderköping, waterwayConnection, Vättern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vättern Context triple: [Söderköping, waterwayConnection, Vättern]
-
A.
Vättern
chosen
Vättern is Sweden's second-largest lake, renowned for its clear waters and surrounding historic towns and landscapes.
-
B.
Stora Värtan
Stora Värtan is a bay of the Baltic Sea in the Stockholm archipelago, known for its coastal residential areas, marinas, and recreational boating.
-
C.
Älvsjö
Älvsjö is a suburban district in southern Stockholm, Sweden, known for its residential areas and the Stockholm International Fairs exhibition center.
-
D.
Munksjön
Munksjön is a small urban lake situated in central Jönköping in southern Sweden, known for its promenades, recreational areas, and proximity to the city’s downtown.
-
E.
Storsjön
Storsjön is a large lake in central Sweden, famed for its scenic surroundings and the local legend of the lake monster Storsjöodjuret.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a974ee4c819099310b46885a5597 |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.