Triple
T19873155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karlberg Canal |
E477571
|
entity |
| Predicate | connectsWaterBody |
P6307
|
FINISHED |
| Object | Ulvsundasjön |
—
|
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: Ulvsundasjön | Statement: [Karlberg Canal, connectsWaterBody, Ulvsundasjön]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulvsundasjön Context triple: [Karlberg Canal, connectsWaterBody, Ulvsundasjön]
-
A.
Ulvsundasjön
chosen
Ulvsundasjön is a bay of Lake Mälaren in Stockholm, Sweden, known for bordering several city districts and serving as a popular area for boating and waterfront recreation.
-
B.
Laxsjön
Laxsjön is a lake in the Swedish province of Dalsland, known for its forested surroundings and opportunities for fishing and outdoor recreation.
-
C.
Norra Bergundasjön
Norra Bergundasjön is a lake located near the city of Växjö in southern Sweden, known for its natural surroundings and recreational opportunities.
-
D.
Mjörn
Mjörn is a lake in western Sweden, known for its scenic surroundings and recreational opportunities near the town of Alingsås.
-
E.
Lundevatn
Lundevatn is a lake in Agder county in southern Norway, known for its elongated shape and scenic surroundings.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658d92f9c8190b363587ed1881c2c |
completed | April 20, 2026, 4:48 p.m. |
Created at: April 10, 2026, 1:51 p.m.