Triple
T1282609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knivsta Municipality |
E27359
|
entity |
| Predicate | hasUrbanArea |
P316
|
FINISHED |
| Object | Knivsta |
E146816
|
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: Knivsta | Statement: [Knivsta Municipality, hasUrbanArea, Knivsta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knivsta Context triple: [Knivsta Municipality, hasUrbanArea, Knivsta]
-
A.
Knivsta
chosen
Knivsta is a small town in Uppsala County, Sweden, known as a growing commuter community situated between Uppsala and Stockholm.
-
B.
Stäket
Stäket is a locality in the northern Stockholm region of Sweden, situated within Järfälla Municipality and known for its residential areas and proximity to Lake Mälaren.
-
C.
Cleave
Cleave is a given name variant of Clive, used as an alternative personal name or spelling.
-
D.
Kästa
Kästa is a small locality situated within Botkyrka Municipality in Stockholm County, Sweden.
-
E.
Bladel
Bladel is a town and municipality in the southern Netherlands, located in the province of North Brabant near the Belgian border.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b47be08190828a1c0a11d94ce8 |
completed | March 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb2fd091081908f4a60d7ce300c90 |
completed | March 7, 2026, 11:21 p.m. |
Created at: March 1, 2026, 7:50 p.m.