Triple
T23351864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lierne |
E592933
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Tunnsjøen
Tunnsjøen is a large lake in Trøndelag county, Norway, known for its remote wilderness setting and rich fishing opportunities.
|
E1592087
|
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: Tunnsjøen | Statement: [Lierne, hasLake, Tunnsjøen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tunnsjøen Context triple: [Lierne, hasLake, Tunnsjøen]
-
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.
Funnsjøen
Funnsjøen is a lake located in the municipality of Meråker in Trøndelag county, central Norway.
-
C.
Røssvatnet
Røssvatnet is one of Norway’s largest lakes, located in the northern part of the country and known for its scenic surroundings and hydroelectric significance.
-
D.
Frøysjøen
Frøysjøen is a coastal fjord or sea area in western Norway, situated below the towering cliff of Hornelen.
-
E.
Hemnessjøen
Hemnessjøen is a lake in southeastern Norway that forms part of the Haldenvassdraget watercourse system.
- 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: Tunnsjøen Triple: [Lierne, hasLake, Tunnsjøen]
Generated description
Tunnsjøen is a large lake in Trøndelag county, Norway, known for its remote wilderness setting and rich fishing opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tunnsjøen Target entity description: Tunnsjøen is a large lake in Trøndelag county, Norway, known for its remote wilderness setting and rich fishing opportunities.
-
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.
Funnsjøen
Funnsjøen is a lake located in the municipality of Meråker in Trøndelag county, central Norway.
-
C.
Røssvatnet
Røssvatnet is one of Norway’s largest lakes, located in the northern part of the country and known for its scenic surroundings and hydroelectric significance.
-
D.
Frøysjøen
Frøysjøen is a coastal fjord or sea area in western Norway, situated below the towering cliff of Hornelen.
-
E.
Hemnessjøen
Hemnessjøen is a lake in southeastern Norway that forms part of the Haldenvassdraget watercourse system.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a14e04c81909c007b97cf5378b6 |
completed | April 29, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf2ea61c8190a2d6b2647750c486 |
completed | May 19, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_6a0d7213f9508190a8884846e19079e3 |
completed | May 20, 2026, 8:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0d72ad1b148190bbe5f65e84ac2837 |
completed | May 20, 2026, 8:37 a.m. |
Created at: April 17, 2026, 5:20 p.m.