Triple
T13799313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Vänern |
E331596
|
entity |
| Predicate | outflow |
P967
|
FINISHED |
| Object | Göta älv |
E99024
|
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: Göta älv | Statement: [Lake Vänern, outflow, Göta älv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Göta älv Context triple: [Lake Vänern, outflow, Göta älv]
-
A.
Göta älv
chosen
Göta älv is a major river in southwestern Sweden that flows from Lake Vänern to the Kattegat, passing through the city of Gothenburg and serving as an important waterway for transport and industry.
-
B.
Västerdalälven
Västerdalälven is a major river in central Sweden that forms one of the two main headwaters of the Dalälven, flowing through the Dalarna region.
-
C.
Munksjöån
Munksjöån is a river in Jönköping, Sweden, that drains Lake Munksjön and flows toward Lake Vättern through the city.
-
D.
Dalälven
Dalälven is a major river in central Sweden known for its extensive watershed, hydroelectric power stations, and rich natural and recreational areas.
-
E.
Motala Ström
Motala Ström is a river in Östergötland, Sweden, that drains Lake Vättern and flows eastward through several towns before reaching the Baltic Sea.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ce9148190b23370f6a522ff7a |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b0893a20819081d4001b8dbc9c36 |
completed | May 3, 2026, 8:31 p.m. |
Created at: April 9, 2026, 10:11 p.m.