Triple
T18707271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nord-Odal |
E457403
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Råsen
Råsen is a lake located in the municipality of Nord-Odal in Innlandet county, Norway.
|
E1339059
|
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: Råsen | Statement: [Nord-Odal, hasLake, Råsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Råsen Context triple: [Nord-Odal, hasLake, Råsen]
-
A.
Råna
Råna is a prominent mountain in western Norway known for its scenic alpine landscapes and hiking opportunities.
-
B.
Røssåga
Røssåga is a river in Nordland county, Norway, known for flowing through Rana Municipality and being utilized for hydroelectric power production.
-
C.
Reisaelva
Reisaelva is a major river in Troms county in northern Norway, known for flowing through the scenic Reisa National Park and its deep canyon landscapes.
-
D.
Tåsen
Tåsen is a residential neighborhood in Oslo, Norway, known for its quiet streets, green spaces, and proximity to the city center.
-
E.
Sorsa
Sorsa is a Finnish surname most notably associated with Kalevi Sorsa, a long-serving Prime Minister of Finland and influential Social Democratic politician.
- 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: Råsen Triple: [Nord-Odal, hasLake, Råsen]
Generated description
Råsen is a lake located in the municipality of Nord-Odal in Innlandet county, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Råsen Target entity description: Råsen is a lake located in the municipality of Nord-Odal in Innlandet county, Norway.
-
A.
Råna
Råna is a prominent mountain in western Norway known for its scenic alpine landscapes and hiking opportunities.
-
B.
Røssåga
Røssåga is a river in Nordland county, Norway, known for flowing through Rana Municipality and being utilized for hydroelectric power production.
-
C.
Reisaelva
Reisaelva is a major river in Troms county in northern Norway, known for flowing through the scenic Reisa National Park and its deep canyon landscapes.
-
D.
Tåsen
Tåsen is a residential neighborhood in Oslo, Norway, known for its quiet streets, green spaces, and proximity to the city center.
-
E.
Sorsa
Sorsa is a Finnish surname most notably associated with Kalevi Sorsa, a long-serving Prime Minister of Finland and influential Social Democratic politician.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e567185c648190848ca47498eb56b3 |
completed | April 19, 2026, 11:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a052b3a95888190b09328d459164071 |
completed | May 14, 2026, 1:54 a.m. |
| NEDg | Description generation | batch_6a052dec70cc8190b66909ce6225b2bb |
completed | May 14, 2026, 2:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a052edba614819084d818fe1cc84ca4 |
completed | May 14, 2026, 2:09 a.m. |
Created at: April 10, 2026, 11:50 a.m.