Triple
T16028763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helgeland |
E388787
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Sandnessjøen |
E397952
|
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: Sandnessjøen | Statement: [Helgeland, contains, Sandnessjøen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandnessjøen Context triple: [Helgeland, contains, Sandnessjøen]
-
A.
Sandnessjøen
chosen
Sandnessjøen is a coastal town in northern Norway known as a regional hub for the Helgeland area, with strong ties to maritime industries and access to the surrounding archipelago and mountains.
-
B.
Hemnessjøen
Hemnessjøen is a lake in southeastern Norway that forms part of the Haldenvassdraget watercourse system.
-
C.
Sjusjøen
Sjusjøen is a popular Norwegian cross-country skiing destination and mountain village known for its extensive trail network and scenic highland landscapes near Lillehammer.
-
D.
Frøysjøen
Frøysjøen is a coastal fjord or sea area in western Norway, situated below the towering cliff of Hornelen.
-
E.
Hurdalssjøen
Hurdalssjøen is a large freshwater lake in eastern Norway, known for its scenic surroundings and recreational activities such as swimming, fishing, and boating.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1832a56ec8190a47fd2cf83a42fd4 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03c4a715808190919b96b9e85f90d6 |
completed | May 13, 2026, 12:24 a.m. |
Created at: April 10, 2026, 4:56 a.m.