Triple
T786431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Norway |
E16813
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Viken
Viken is a county in southeastern Norway that includes the area around Oslo and stretches from the Swedish border to the mountainous interior.
|
E93795
|
NE FINISHED |
How this triple was built (4 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: Viken | Statement: [Eastern Norway, contains, Viken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viken Context triple: [Eastern Norway, contains, Viken]
-
A.
Kattegat
Kattegat is a shallow sea area and strait between Denmark and Sweden that forms a key maritime passage linking the North Sea with the Baltic Sea.
-
B.
Bothnian Sea
The Bothnian Sea is the southern part of the Gulf of Bothnia, a brackish water basin between Sweden and Finland that forms a northern arm of the Baltic Sea.
-
C.
Iddefjord
Iddefjord is a narrow fjord forming part of the border between Norway and Sweden, known for its scenic landscapes and proximity to the town of Halden.
-
D.
Egegik
Egegik is a dialect of the Central Alaskan Yup’ik language traditionally spoken in the Egegik region of southwestern Alaska.
-
E.
Oslofjord
Oslofjord is a large inlet in southeastern Norway known for its islands, coastal towns, and role as the maritime gateway to Oslo.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Viken Triple: [Eastern Norway, contains, Viken]
Generated description
Viken is a county in southeastern Norway that includes the area around Oslo and stretches from the Swedish border to the mountainous interior.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Viken Target entity description: Viken is a county in southeastern Norway that includes the area around Oslo and stretches from the Swedish border to the mountainous interior.
-
A.
Kattegat
Kattegat is a shallow sea area and strait between Denmark and Sweden that forms a key maritime passage linking the North Sea with the Baltic Sea.
-
B.
Bothnian Sea
The Bothnian Sea is the southern part of the Gulf of Bothnia, a brackish water basin between Sweden and Finland that forms a northern arm of the Baltic Sea.
-
C.
Iddefjord
Iddefjord is a narrow fjord forming part of the border between Norway and Sweden, known for its scenic landscapes and proximity to the town of Halden.
-
D.
Egegik
Egegik is a dialect of the Central Alaskan Yup’ik language traditionally spoken in the Egegik region of southwestern Alaska.
-
E.
Oslofjord
Oslofjord is a large inlet in southeastern Norway known for its islands, coastal towns, and role as the maritime gateway to Oslo.
- F. None of above. chosen
Provenance (5 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a77fcc6881908a025bb21e44ad56 |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6787eac608190acc40d56f827284e |
completed | March 3, 2026, 5:58 a.m. |
| NEDg | Description generation | batch_69a67a663f6c819084b5dffdde3531aa |
completed | March 3, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a67b1d50b0819088232ad797babced |
completed | March 3, 2026, 6:09 a.m. |
Created at: March 1, 2026, 7:38 p.m.