Triple
T4365572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oppland |
E98763
|
entity |
| Predicate | containsPart |
P35
|
FINISHED |
| Object | Østre Toten |
E408635
|
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: Østre Toten | Statement: [Oppland, containsPart, Østre Toten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Østre Toten Context triple: [Oppland, containsPart, Østre Toten]
-
A.
Østre Toten
chosen
Østre Toten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and location along the shores of Lake Mjøsa.
-
B.
Kvænangen
Kvænangen is a fjord in northern Norway known for its dramatic coastal scenery, rich marine life, and traditional fishing communities.
-
C.
Svaneke
Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
-
D.
Østerdalen
Østerdalen is a large, sparsely populated valley region in Innlandet county, Norway, known for its forests, rivers, and traditional rural culture.
-
E.
Tjøme
Tjøme is a scenic island and former municipality in Vestfold, Norway, known for its coastal landscapes, summer cabins, and popular seaside recreation areas.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35200263081909bb326a4d7a8db99 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbcbbd1881908eb9f0ea6b2fe16b |
completed | March 14, 2026, 10:06 p.m. |
Created at: March 12, 2026, 11:17 p.m.