Triple
T14601583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ringsaker |
E342716
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Sjusjøen |
E126700
|
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: Sjusjøen | Statement: [Ringsaker, hasSettlement, Sjusjøen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sjusjøen Context triple: [Ringsaker, hasSettlement, Sjusjøen]
-
A.
Sjusjøen
chosen
Sjusjøen is a popular Norwegian cross-country skiing destination and mountain village known for its extensive trail network and scenic highland landscapes near Lillehammer.
-
B.
Hurdalssjøen
Hurdalssjøen is a large freshwater lake in eastern Norway, known for its scenic surroundings and recreational activities such as swimming, fishing, and boating.
-
C.
Hemnessjøen
Hemnessjøen is a lake in southeastern Norway that forms part of the Haldenvassdraget watercourse system.
-
D.
Femsjøen
Femsjøen is a lake in southeastern Norway that forms part of the Halden watercourse system and is known for its natural scenery and recreational opportunities.
-
E.
Høgsfjorden
Høgsfjorden is a fjord in Rogaland county in southwestern Norway, known for its deep waters and scenic landscapes near the city of Stavanger.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb438748081908020ce04b869866a |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9db810c481908dde925ff90f3fa0 |
completed | May 9, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:25 a.m.