Triple
T1075921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallentuna Municipality |
E23837
|
entity |
| Predicate | hasSettlement |
P1068
|
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: [Vallentuna Municipality, hasSettlement, Vallentuna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vallentuna Context triple: [Vallentuna Municipality, hasSettlement, Vallentuna]
-
A.
Vallentuna
chosen
Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
-
B.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
C.
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.
-
D.
Valbo
Valbo is a locality in Gävleborg County, Sweden, known as the hometown of NHL ice hockey star Nicklas Bäckström.
-
E.
Veltro
Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b92e480c81909a848b48c196a293 |
completed | March 1, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8303cbec8190a3b8a9bad2434ee7 |
completed | March 7, 2026, 7:56 p.m. |
Created at: March 1, 2026, 7:42 p.m.