Triple
T5956635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallentunasjön |
E132531
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Vallentuna |
E138535
|
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: Vallentuna | Statement: [Vallentunasjön, hasNearbySettlement, Vallentuna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vallentuna Context triple: [Vallentunasjön, hasNearbySettlement, Vallentuna]
-
A.
Vallentuna
chosen
Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
-
B.
Vauhallan
Vauhallan is a small commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
-
C.
Viddalba
Viddalba is a small town and comune in northern Sardinia, Italy, known for its rural setting and proximity to the Gallura region’s coastal and archaeological attractions.
-
D.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
E.
Vallader
Vallader is a major dialect of the Romansh language spoken primarily in Switzerland’s Lower Engadine region and used in local literature and education.
- 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_69c0086b05cc8190a8f36a96927a525c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c039c34ca881909a219eddf99348ab |
completed | March 22, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1082d00308190a8e92bb633e7f292 |
completed | March 23, 2026, 9:30 a.m. |
Created at: March 22, 2026, 4:02 p.m.