Triple
T12000112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Västernorrland County |
E285635
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Sollefteå |
E691531
|
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: Sollefteå | Statement: [Västernorrland County, containsSettlement, Sollefteå]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sollefteå Context triple: [Västernorrland County, containsSettlement, Sollefteå]
-
A.
Sollefteå
chosen
Sollefteå is a small town in northern Sweden known for its scenic location along the Ångerman River and its surrounding forests and hills.
-
B.
Farsund
Farsund is a coastal town and municipality in southern Norway known for its maritime heritage, beaches, and historic wooden architecture.
-
C.
Sölvesborg
Sölvesborg is a coastal town in southern Sweden known for its medieval architecture, historic town center, and location on the Baltic Sea in Blekinge County.
-
D.
Trosa
Trosa is a small coastal town in Södermanland County, Sweden, known for its picturesque wooden houses, harbor, and tourism.
-
E.
Bojnord
Bojnord is a city in northeastern Iran that serves as the capital of North Khorasan Province.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c26d7881909b67a31d04882eb5 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f640b9a481908de1b7858e3db52c |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:46 p.m.