Triple
T21540637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count of Visingsborg |
E531473
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Visingsö |
—
|
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: Visingsö | Statement: [Count of Visingsborg, locatedIn, Visingsö]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Visingsö Context triple: [Count of Visingsborg, locatedIn, Visingsö]
-
A.
Visingsö
chosen
Visingsö is a historically significant Swedish island in Lake Vättern, known for its medieval castle ruins, oak forests, and picturesque rural landscapes.
-
B.
Västerljung
Västerljung is a small locality in eastern Sweden situated within Trosa Municipality in Södermanland County.
-
C.
Norderön
Norderön is a Swedish island located in the large inland lake Storsjön in the province of Jämtland.
-
D.
Svartsö
Svartsö is a rural, forested island in Sweden’s Stockholm archipelago known for its tranquil atmosphere, small community, and outdoor recreation opportunities.
-
E.
Kållandsö
Kållandsö is a large Swedish island known for its scenic landscapes and historic sites, located in Lake Vänern in western Sweden.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d119e0c8190a207c0e8ae328a95 |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 16, 2026, 6:28 p.m.