Triple
T13799319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Vänern |
E331596
|
entity |
| Predicate | hasCityOnShore |
P969
|
FINISHED |
| Object | Vänerborg |
E331595
|
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: Vänerborg | Statement: [Lake Vänern, hasCityOnShore, Vänerborg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vänerborg Context triple: [Lake Vänern, hasCityOnShore, Vänerborg]
-
A.
Vänersborg
chosen
Vänersborg is a Swedish town located at the southern tip of Lake Vänern, known historically as an administrative and trading center.
-
B.
Västberga
Västberga is an industrial and residential district in southern Stockholm, Sweden, known for its warehouses, logistics centers, and proximity to major transport routes.
-
C.
Svalöv
Svalöv is a small locality and municipality in Skåne County in southern Sweden, known for its rural landscape and agricultural surroundings.
-
D.
Östervåla
Östervåla is a locality in central Sweden that serves as one of the settlements within Heby Municipality in Uppsala County.
-
E.
Värmskog
Värmskog is a small locality in Värmland County, Sweden, known as the birthplace of telephone industry pioneer Lars Magnus Ericsson.
- 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.