Triple
T2207101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marker |
E50824
|
entity |
| Predicate | containsWaterBody |
P1778
|
FINISHED |
| Object |
Rødenessjøen
Rødenessjøen is a lake in Norway known for its scenic natural surroundings and recreational opportunities such as fishing and boating.
|
E271083
|
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: Rødenessjøen | Statement: [Marker, containsWaterBody, Rødenessjøen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rødenessjøen Context triple: [Marker, containsWaterBody, Rødenessjøen]
-
A.
Norsjø
Norsjø is a large lake in Telemark, Eastern Norway, known as an important part of the Telemark Canal waterway system.
-
B.
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.
-
C.
Randsfjorden
Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
-
D.
Tyrifjorden
Tyrifjorden is one of Norway’s largest lakes, known for its scenic surroundings and importance as a recreational and ecological area in Eastern Norway.
-
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: Rødenessjøen Triple: [Marker, containsWaterBody, Rødenessjøen]
Generated description
Rødenessjøen is a lake in Norway known for its scenic natural surroundings and recreational opportunities such as fishing and boating.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rødenessjøen Target entity description: Rødenessjøen is a lake in Norway known for its scenic natural surroundings and recreational opportunities such as fishing and boating.
-
A.
Norsjø
Norsjø is a large lake in Telemark, Eastern Norway, known as an important part of the Telemark Canal waterway system.
-
B.
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.
-
C.
Randsfjorden
Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
-
D.
Tyrifjorden
Tyrifjorden is one of Norway’s largest lakes, known for its scenic surroundings and importance as a recreational and ecological area in Eastern Norway.
-
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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfcbb83081908d5b2f1603c7b4d2 |
completed | March 7, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af176447d881909173c62cc8c394a0 |
completed | March 9, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_69af1be75a088190a5207da2f7798212 |
completed | March 9, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af1c9c35648190bdeab34ce4032d26 |
completed | March 9, 2026, 7:16 p.m. |
Created at: March 4, 2026, 7:46 p.m.