Triple
T11615780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haldenvassdraget |
E275502
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Øymarksjøen |
E272277
|
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: Øymarksjøen | Statement: [Haldenvassdraget, hasPart, Øymarksjøen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Øymarksjøen Context triple: [Haldenvassdraget, hasPart, Øymarksjøen]
-
A.
Øymarksjøen
chosen
Øymarksjøen is a lake in southeastern Norway known for its forested surroundings, recreational fishing, and role in the local waterway system near the Swedish border.
-
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.
Rødenessjøen
Rødenessjøen is a lake in Norway known for its scenic natural surroundings and recreational opportunities such as fishing and boating.
-
D.
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.
-
E.
Norsjø
Norsjø is a large lake in Telemark, Eastern Norway, known as an important part of the Telemark Canal waterway system.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a04675e08190837a3717242fd0f9 |
completed | April 10, 2026, 7:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a84924a0819084c43aeb7c57ac10 |
completed | April 22, 2026, 10:51 a.m. |
Created at: April 8, 2026, 9:38 p.m.