Triple
T19507788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meråker |
E488069
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Funnsjøen
Funnsjøen is a lake located in the municipality of Meråker in Trøndelag county, central Norway.
|
E1382839
|
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: Funnsjøen | Statement: [Meråker, hasLake, Funnsjøen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Funnsjøen Context triple: [Meråker, hasLake, Funnsjøen]
-
A.
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.
-
B.
Frøysjøen
Frøysjøen is a coastal fjord or sea area in western Norway, situated below the towering cliff of Hornelen.
-
C.
Femsjøen
Femsjøen is a lake in southeastern Norway that forms part of the Halden watercourse system and is known for its natural scenery and recreational opportunities.
-
D.
Nøklevann
Nøklevann is a freshwater lake in the Østmarka forest area of Oslo, Norway, popular for outdoor recreation such as swimming, hiking, and fishing.
-
E.
Høgsfjorden
Høgsfjorden is a fjord in Rogaland county in southwestern Norway, known for its deep waters and scenic landscapes near the city of Stavanger.
- 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: Funnsjøen Triple: [Meråker, hasLake, Funnsjøen]
Generated description
Funnsjøen is a lake located in the municipality of Meråker in Trøndelag county, central Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Funnsjøen Target entity description: Funnsjøen is a lake located in the municipality of Meråker in Trøndelag county, central Norway.
-
A.
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.
-
B.
Frøysjøen
Frøysjøen is a coastal fjord or sea area in western Norway, situated below the towering cliff of Hornelen.
-
C.
Femsjøen
Femsjøen is a lake in southeastern Norway that forms part of the Halden watercourse system and is known for its natural scenery and recreational opportunities.
-
D.
Nøklevann
Nøklevann is a freshwater lake in the Østmarka forest area of Oslo, Norway, popular for outdoor recreation such as swimming, hiking, and fishing.
-
E.
Høgsfjorden
Høgsfjorden is a fjord in Rogaland county in southwestern Norway, known for its deep waters and scenic landscapes near the city of Stavanger.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635130e708190bb3d70e1abbade2a |
completed | April 20, 2026, 2:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a075772ad6881909551e56a27ba75bb |
completed | May 15, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_6a07589464088190868707aa1f8f9793 |
completed | May 15, 2026, 5:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0758dc31bc8190858815dc24b04ac4 |
completed | May 15, 2026, 5:33 p.m. |
Created at: April 10, 2026, 1:40 p.m.