Triple
T15124021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Växjö Lake |
E361238
|
entity |
| Predicate | hasLanguageName |
P15
|
FINISHED |
| Object | sv:Växjösjön |
E361238
|
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: sv:Växjösjön | Statement: [Växjö Lake, hasLanguageName, sv:Växjösjön]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: sv:Växjösjön Context triple: [Växjö Lake, hasLanguageName, sv:Växjösjön]
-
A.
Viksjö
Viksjö is a residential district and suburb of Stockholm located within Järfälla Municipality in Sweden.
-
B.
Växjö Lake
chosen
Växjö Lake is a scenic freshwater lake in the city of Växjö in southern Sweden, known for its walking paths, recreation areas, and role in the local urban landscape.
-
C.
Viksjöfors
Viksjöfors is a small rural locality in central Sweden known for its scenic surroundings and traditional village character.
-
D.
Bornsjön
Bornsjön is a lake in Stockholm County, Sweden, known as a protected freshwater reservoir and nature area near Salem.
-
E.
Femsjö
Femsjö is a small locality in southern Sweden, historically notable as the birthplace of the influential mycologist Elias Magnus Fries.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005a0c6888190840de4ead2306544 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7f67f6c81909723c13255306668 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:06 a.m.