Triple
T9975734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hudiksvall Municipality |
E196321
|
entity |
| Predicate | hasUrbanArea |
P316
|
FINISHED |
| Object | Njutånger |
E832705
|
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: Njutånger | Statement: [Hudiksvall Municipality, hasUrbanArea, Njutånger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Njutånger Context triple: [Hudiksvall Municipality, hasUrbanArea, Njutånger]
-
A.
Njutånger
chosen
Njutånger is a small locality in Gävleborg County, Sweden, known for its rural character and coastal proximity within the region of Hälsingland.
-
B.
Vingåker
Vingåker is a small locality in Södermanland County, Sweden, known as the hometown of former Swedish Prime Minister Göran Persson.
-
C.
Norsborg
Norsborg is a suburban district in Botkyrka Municipality, southwest of central Stockholm, Sweden, known as the terminus area of the Stockholm metro’s red line.
-
D.
Nadderud
Nadderud is a residential and sports-focused area in Bærum, Norway, known for its stadium and athletic facilities.
-
E.
Närpes
Närpes is a bilingual coastal town and municipality in western Finland known for its greenhouse vegetable production and strong Swedish-speaking heritage.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb84b47308190aa2f94fa7320cdc3 |
completed | April 2, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d257c9f6cc81908256dc1e8d6c3fea |
completed | April 5, 2026, 12:38 p.m. |
Created at: March 30, 2026, 8:48 p.m.